{"key": "castet_saleh_2009", "title": "Satellite and satellite subsystems reliability: Statistical data analysis and modeling", "authors": ["J.-F. Castet", "J. H. Saleh"], "year": 2009, "venue": "Reliability Engineering and System Safety", "doi": "10.1016/j.ress.2009.05.004", "url": "https://doi.org/10.1016/j.ress.2009.05.004", "abstract": "", "grade": "A", "theme": "ch2_theoretical_framework;ch3_literature_review;ch4_data_and_measurement", "source": "seed"}
{"key": "castet_saleh_2010_weibull", "title": "Single versus mixture Weibull distributions for nonparametric satellite reliability", "authors": ["J.-F. Castet", "J. H. Saleh"], "year": 2010, "venue": "Reliability Engineering and System Safety", "doi": "10.1016/j.ress.2009.10.001", "url": "https://doi.org/10.1016/j.ress.2009.10.001", "abstract": "", "grade": "A", "theme": "ch3_literature_review;ch4_data_and_measurement;ch6_analysis_plan", "source": "seed"}
{"key": "castet_saleh_2010_multistate", "title": "Beyond reliability, multi-state failure analysis of satellite subsystems: A statistical approach", "authors": ["J.-F. Castet", "J. H. Saleh"], "year": 2010, "venue": "Reliability Engineering and System Safety", "doi": "10.1016/j.ress.2009.11.001", "url": "https://doi.org/10.1016/j.ress.2009.11.001", "abstract": "", "grade": "A", "theme": "ch3_literature_review;ch5_research_design", "source": "seed"}
{"key": "tafazoli_2009", "title": "A study of on-orbit spacecraft failures", "authors": ["M. Tafazoli"], "year": 2009, "venue": "Acta Astronautica", "doi": "10.1016/j.actaastro.2008.07.019", "url": "https://doi.org/10.1016/j.actaastro.2008.07.019", "abstract": "", "grade": "A", "theme": "ch1_introduction;ch3_literature_review", "source": "seed"}
{"key": "saleh_castet_2011", "title": "Health scorecard of spacecraft platforms: Track record of on-orbit anomalies and failures", "authors": ["J. H. Saleh", "J.-F. Castet"], "year": 2011, "venue": "Acta Astronautica", "doi": "10.1016/j.actaastro.2010.08.006", "url": "https://doi.org/10.1016/j.actaastro.2010.08.006", "abstract": "", "grade": "A", "theme": "ch3_literature_review;ch4_data_and_measurement", "source": "seed"}
{"key": "dubos_castet_saleh_2010", "title": "Statistical reliability analysis of satellites by mass category: Does spacecraft size matter?", "authors": ["G. F. Dubos", "J.-F. Castet", "J. H. Saleh"], "year": 2010, "venue": "Acta Astronautica", "doi": "10.1016/j.actaastro.2010.04.017", "url": "https://doi.org/10.1016/j.actaastro.2010.04.017", "abstract": "", "grade": "A", "theme": "ch3_literature_review;ch5_research_design", "source": "seed"}
{"key": "dubos_saleh_braun_2008", "title": "Technology Readiness Level, Schedule Risk, and Slippage in Spacecraft Design", "authors": ["G. F. Dubos", "J. H. Saleh", "R. Braun"], "year": 2008, "venue": "Journal of Spacecraft and Rockets", "doi": "10.2514/1.34947", "url": "https://doi.org/10.2514/1.34947", "abstract": "", "grade": "A", "theme": "ch2_theoretical_framework;ch3_literature_review", "source": "seed"}
{"key": "deepspace_qrei_2024", "title": "Reliability analysis of deep space satellites launched 1991-2020: Bulk population and subsystem analysis", "authors": [], "year": 2024, "venue": "Quality and Reliability Engineering International", "doi": "10.1002/qre.3600", "url": "https://doi.org/10.1002/qre.3600", "abstract": "", "grade": "A", "theme": "ch3_literature_review;ch6_analysis_plan", "source": "seed"}
{"key": "twoweibull_ieeeaccess_2021", "title": "Statistical Modeling and Analysis of Satellite Failure Based on 2-Weibull Segmented Model", "authors": [], "year": 2021, "venue": "IEEE Access", "doi": "10.1109/access.2021.3113155", "url": "https://doi.org/10.1109/access.2021.3113155", "abstract": "", "grade": "A", "theme": "ch3_literature_review;ch6_analysis_plan", "source": "seed"}
{"key": "langer_bouwmeester_2016", "title": "Reliability of CubeSats - Statistical Data, Developers' Beliefs and the Way Forward", "authors": ["M. Langer", "J. Bouwmeester"], "year": 2016, "venue": "AIAA/USU Conference on Small Satellites", "doi": null, "url": "https://digitalcommons.usu.edu/smallsat/2016/S3GuidCont/2/", "abstract": "", "grade": "B", "theme": "ch3_literature_review;ch7_discussion", "source": "seed"}
{"key": "brandhoff_2021_cots", "title": "Risk Assessment for the Use of COTS Devices in Space Systems under Consideration of Radiation Effects", "authors": ["M. Brandhoff"], "year": 2021, "venue": "Electronics", "doi": "10.3390/electronics10091008", "url": "https://doi.org/10.3390/electronics10091008", "abstract": "", "grade": "A", "theme": "ch2_theoretical_framework;ch3_literature_review;ch4_data_and_measurement", "source": "seed"}
{"key": "radeffects_cots_smallsats_2013", "title": "Radiation Effects and COTS Parts in SmallSats", "authors": [], "year": 2013, "venue": "SPIE", "doi": "10.1117/12.2231304", "url": "https://doi.org/10.1117/12.2231304", "abstract": "", "grade": "B", "theme": "ch3_literature_review;ch4_data_and_measurement", "source": "seed"}
{"key": "angrist_pischke_2009", "title": "Mostly Harmless Econometrics: An Empiricist's Companion", "authors": ["J. D. Angrist", "J.-S. Pischke"], "year": 2009, "venue": "Princeton University Press", "doi": "10.1515/9781400829828", "url": "https://doi.org/10.1515/9781400829828", "abstract": "", "grade": "A", "theme": "ch2_theoretical_framework;ch5_research_design;ch6_analysis_plan", "source": "seed"}
{"key": "angrist_imbens_rubin_1996", "title": "Identification of Causal Effects Using Instrumental Variables", "authors": ["J. D. Angrist", "G. W. Imbens", "D. B. Rubin"], "year": 1996, "venue": "Journal of the American Statistical Association", "doi": "10.1080/01621459.1996.10476902", "url": "https://doi.org/10.1080/01621459.1996.10476902", "abstract": "", "grade": "A", "theme": "ch2_theoretical_framework;ch5_research_design", "source": "seed"}
{"key": "rosenbaum_rubin_1983", "title": "The central role of the propensity score in observational studies for causal effects", "authors": ["P. R. Rosenbaum", "D. B. Rubin"], "year": 1983, "venue": "Biometrika", "doi": "10.1093/biomet/70.1.41", "url": "https://doi.org/10.1093/biomet/70.1.41", "abstract": "", "grade": "A", "theme": "ch2_theoretical_framework;ch5_research_design;ch6_analysis_plan", "source": "seed"}
{"key": "rubin_2008_design", "title": "For objective causal inference, design trumps analysis", "authors": ["D. B. Rubin"], "year": 2008, "venue": "Annals of Applied Statistics", "doi": "10.1214/08-aoas187", "url": "https://doi.org/10.1214/08-aoas187", "abstract": "", "grade": "A", "theme": "ch2_theoretical_framework;ch5_research_design", "source": "seed"}
{"key": "imbens_rubin_2015", "title": "Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction", "authors": ["G. W. Imbens", "D. B. Rubin"], "year": 2015, "venue": "Cambridge University Press", "doi": "10.1017/cbo9781139025751", "url": "https://doi.org/10.1017/cbo9781139025751", "abstract": "", "grade": "A", "theme": "ch2_theoretical_framework;ch5_research_design;ch6_analysis_plan", "source": "seed"}
{"key": "rubin_1978_bayesian", "title": "Bayesian Inference for Causal Effects: The Role of Randomization", "authors": ["D. B. Rubin"], "year": 1978, "venue": "Annals of Statistics", "doi": "10.1214/aos/1176344064", "url": "https://doi.org/10.1214/aos/1176344064", "abstract": "", "grade": "A", "theme": "ch2_theoretical_framework;ch5_research_design", "source": "seed"}
{"key": "witcher_2024_radiation", "title": "Radiation Hardness Assurance for a NewSpace DC-DC Converter", "authors": ["B. Witcher", "L. Leslie", "J. Ferrell", "J. Yeager", "C. Rutledge"], "year": 2024, "venue": "European Conference on Radiation and Its Effects on Components and Systems", "doi": "10.1109/radecs61970.2024.11298567", "url": "https://doi.org/10.1109/RADECS61970.2024.11298567", "abstract": "The number of NewSpace applications using commercial off-the-shelf (COTS) electronic components and systems in space have grown dramatically in recent years. The use of COTS components significantly reduces the cost and schedule of building space hardware and removes major barriers to entry into this realm. As such, many new companies are entering the NewSpace market. These new electronics companies must quickly get up-to-speed on the many risks associated with operation in space. Finding the ri", "grade": "A", "theme": "ch4_data_and_measurement;ch7_discussion", "source": "SemanticScholar"}
{"key": "slater_2023_single", "title": "Single Event Effects and Total Ionizing Dose Radiation Testing of NVIDIA Jetson Orin AGX System on Module", "authors": ["Windy S. Slater", "B. Rutherford", "J. Mee", "R. Pinson", "Matthew Gruber", "Daniel Sabogal"], "year": 2023, "venue": "Radiation Effects Data Workshop", "doi": "10.1109/redw61050.2023.10265818", "url": "https://doi.org/10.1109/REDW61050.2023.10265818", "abstract": "Commercial satellite constellations in low earth orbit (LEO) have benefited from improved radiation performance of advanced electronics as semiconductor technologies have scaled to smaller nodes, allowing them to tap into high-performance processing on orbit with sufficient reliability for their missions. However, for United States Space Force (USSF) missions, further investigation is required to identify the suitability of commercial-off-the-shelf (COTS) based electronics to meet more challengi", "grade": "A", "theme": "ch4_data_and_measurement;ch3_literature_review", "source": "SemanticScholar"}
{"key": "baumann_2014_from", "title": "From COTS to space grade electronics-improving reliability for Harsh environments", "authors": ["R. Baumann"], "year": 2014, "venue": "2014 IEEE International Integrated Reliability Workshop Final Report (IIRW)", "doi": "10.1109/iirw.2014.7049508", "url": "https://doi.org/10.1109/IIRW.2014.7049508", "abstract": "After a brief overview of the aerospace radiation environment and how chronic accumulated radiation exposure (total ionizing dose and neutron/proton dose) and single-event effects (SEEs) plague electronics, we will consider the unintentional improvements in radiation hardness that have evolved as a natural consequence of technology scaling. This \"natural\" hardening is one of the reasons for the growing use of consumer-off-the-shelf (COTS) parts in aerospace systems that once used exclusively mil", "grade": "A", "theme": "ch4_data_and_measurement", "source": "SemanticScholar"}
{"key": "rousselet_2016_use", "title": "Use and benefits of COTS board level testing for radiation hardness assurance", "authors": ["M. Rousselet", "P. C. Adell", "D. J. Sheldon", "J. Boch", "H. Schone", "F. Saigne"], "year": 2016, "venue": "2016 16th European Conference on Radiation and Its Effects on Components and Systems (RADECS)", "doi": "10.1109/radecs.2016.8093122", "url": "https://doi.org/10.1109/radecs.2016.8093122", "abstract": "", "grade": "A", "theme": "ch4_data_and_measurement", "source": "Crossref"}
{"key": "estela_2019_cots", "title": "COTS and the NewSpace", "authors": ["Jaime Estela"], "year": 2019, "venue": "Radiation Effects on Integrated Circuits and Systems for Space Applications", "doi": "10.1007/978-3-030-04660-6_13", "url": "https://doi.org/10.1007/978-3-030-04660-6_13", "abstract": "", "grade": "A", "theme": "ch4_data_and_measurement;ch7_discussion", "source": "SemanticScholar"}
{"key": "kramberger_2016_nanosatellites", "title": "Nanosatellites in LEO and beyond: Advanced Radiation protection techniques for COTS-based spacecraft", "authors": ["David Selčan; Gregor Kirbiš; Iztok Kramberger"], "year": 2016, "venue": "Acta Astronautica", "doi": "10.1016/j.actaastro.2016.11.032", "url": "https://doi.org/10.1016/j.actaastro.2016.11.032", "abstract": "", "grade": "A", "theme": "ch4_data_and_measurement;ch7_discussion", "source": "ACTA-brain"}
{"key": "rrez_2023_toward", "title": "Toward the Use of Electronic Commercial Off-the-Shelf Devices in Space: Assessment of the True Radiation Environment in Low Earth Orbit (LEO)", "authors": ["O. Gutiérrez", "Manuel Prieto", "Álvaro Perales-Eceiza", "Alí Ravanbakhsh", "Mario Basile", "David Guzmán"], "year": 2023, "venue": "Electronics", "doi": "10.3390/electronics12194058", "url": "https://doi.org/10.3390/electronics12194058", "abstract": "", "grade": "A", "theme": "ch4_data_and_measurement", "source": "OpenAlex"}
{"key": "winokur_1991_total", "title": "Total‐dose radiation hardness assurance for space electronics", "authors": ["Peter S. Winokur", "Daniel M. Fleetwood"], "year": 1991, "venue": "AIP Conference Proceedings", "doi": "10.1063/1.40097", "url": "https://doi.org/10.1063/1.40097", "abstract": "", "grade": "A", "theme": "ch4_data_and_measurement", "source": "Crossref"}
{"key": "mccune_2025_repeatability", "title": "Repeatability and intraclass correlations from time-to-event data: towards a standardized approach", "authors": ["Kelsey B. McCune", "Coralie Williams", "N. Dochtermann", "H. Schielzeth", "S. Nakagawa"], "year": 2025, "venue": "Animal Behaviour", "doi": "10.1016/j.anbehav.2025.123102", "url": "https://doi.org/10.1016/j.anbehav.2025.123102", "abstract": "Many biological features are expressed as “time-to-event” traits, such as time to first reproduction or response to some stimulus. The analysis of these traits frequently produces right-censored data in cases where no event has occurred within a certain timeframe. The Cox proportional hazards (CPH) model, a type of survival analysis, accounts for censored data by estimating the hazard of an event occurring at each time point. While random effect variances can be estimated in CPH models, it is cu", "grade": "A", "theme": "ch6_analysis_plan", "source": "SemanticScholar"}
{"key": "scott_2019_causal", "title": "Causal Inference Methods for Selection on Observed and Unobserved Factors: Propensity Score Matching, Heckit Models, and Instrumental Variable Estimation.", "authors": ["P. Scott"], "year": 2019, "venue": "", "doi": "10.7275/7tgr-xt91", "url": "https://doi.org/10.7275/7tgr-xt91", "abstract": "", "grade": "A", "theme": "ch6_analysis_plan", "source": "SemanticScholar"}
{"key": "nkansah_2022_economic", "title": "Economic Integration Agreements and Export Survival in Ghana", "authors": ["K. Nkansah", "P. O. Takyi", "D. Sakyi", "Frank Adusah-Poku"], "year": 2022, "venue": "Journal of African Trade", "doi": "10.1007/s44232-022-00001-z", "url": "https://doi.org/10.1007/s44232-022-00001-z", "abstract": "This study examines the effect of regional integration—specifically, that of the Economic Community of West African States (ECOWAS) as an economic integration agreement—on the survival rate of Ghana’s exports. It employs a discrete-time complementary log–log hazard model with a random effects estimation technique and Kaplan–Meier estimates of the survival function, using data spanning from 1996–2018. The findings from the study indicate that ECOWAS has a significantly negative impact on the haza", "grade": "A", "theme": "ch6_analysis_plan", "source": "SemanticScholar"}
{"key": "karapakula_2023_stable", "title": "Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap", "authors": ["Ganesh Karapakula"], "year": 2023, "venue": "Social Science Research Network", "doi": "10.2139/ssrn.4324986", "url": "https://doi.org/10.2139/ssrn.4324986", "abstract": "In this paper, I try to tame\"Basu's elephants\"(data with extreme selection on observables). I propose new practical large-sample and finite-sample methods for estimating and inferring heterogeneous causal effects (under unconfoundedness) in the empirically relevant context of limited overlap. I develop a general principle called\"Stable Probability Weighting\"(SPW) that can be used as an alternative to the widely used Inverse Probability Weighting (IPW) technique, which relies on strong overlap. I", "grade": "B", "theme": "ch6_analysis_plan", "source": "SemanticScholar"}
{"key": "potential_2021_potential", "title": "Potential Outcomes Causal Model", "authors": [], "year": 2021, "venue": "Causal Inference", "doi": "10.2307/j.ctv1c29t27.7", "url": "https://doi.org/10.2307/j.ctv1c29t27.7", "abstract": "", "grade": "A", "theme": "ch6_analysis_plan", "source": "Crossref"}
{"key": "rubin_2006_causal", "title": "Causal Inference Through Potential Outcomes and Principal Stratification: Application to Studies with “Censoring” Due to Death", "authors": ["Donald B. Rubin"], "year": 2006, "venue": "Statistical Science", "doi": "10.1214/088342306000000114", "url": "https://doi.org/10.1214/088342306000000114", "abstract": "", "grade": "A", "theme": "ch6_analysis_plan", "source": "Crossref"}
{"key": "brumback_2021_potential", "title": "Potential Outcomes and the Fundamental Problem of Causal Inference", "authors": ["Babette A. Brumback"], "year": 2021, "venue": "Fundamentals of Causal Inference with R", "doi": "10.1201/9781003146674-3", "url": "https://doi.org/10.1201/9781003146674-3", "abstract": "", "grade": "A", "theme": "ch6_analysis_plan", "source": "Crossref"}
{"key": "ding_2024_potential", "title": "Potential Outcomes", "authors": ["Peng Ding"], "year": 2024, "venue": "A First Course in Causal Inference", "doi": "10.1201/9781003484080-2", "url": "https://doi.org/10.1201/9781003484080-2", "abstract": "", "grade": "A", "theme": "ch6_analysis_plan", "source": "Crossref"}
{"key": "wong_2026_bridging", "title": "Bridging Weibull Failure Models and CTMC Verification: Automated Phase-Type Encoding for Satellite Reliability Analysis in PRISM", "authors": ["K. Wong", "Yu Lu", "W. Ip", "Wenjun Zhang", "Zhili Sun"], "year": 2026, "venue": "IEEE Transactions on Aerospace and Electronic Systems", "doi": "10.1109/taes.2026.3665850", "url": "https://doi.org/10.1109/TAES.2026.3665850", "abstract": "Satellite systems consist of multiple interdependent subsystems whose failure dynamics frequently deviate from the exponential assumption and are more accurately captured by Weibull distributions derived from empirical on-orbit data. However, these nonexponential behaviors are inherently incompatible with continuous-time Markov chain (CTMC) models that underpin probabilistic verification tools, such as the probabilistic symbolic model checker (PRISM). Although phase-type approximations (e.g., Er", "grade": "A", "theme": "ch3_literature_review", "source": "SemanticScholar"}
{"key": "langer_2017_a", "title": "A reliability estimation tool for reducing infant mortality in Cubesat missions", "authors": ["M. Langer", "M. Weisgerber", "J. Bouwmeester", "A. Hoehn"], "year": 2017, "venue": "IEEE Aerospace Conference", "doi": "10.1109/aero.2017.7943598", "url": "https://doi.org/10.1109/AERO.2017.7943598", "abstract": "", "grade": "A", "theme": "ch3_literature_review;ch7_discussion", "source": "SemanticScholar"}
{"key": "damircheli_2020_failure", "title": "Failure assessment logic model (FALM): A new approach for reliability analysis of satellite attitude control subsystem", "authors": ["Mahrad Damircheli", "Mahdi Fakoor", "Hamed Yadegari"], "year": 2020, "venue": "Reliability Engineering & System Safety", "doi": "10.1016/j.ress.2020.106889", "url": "https://doi.org/10.1016/j.ress.2020.106889", "abstract": "", "grade": "A", "theme": "ch3_literature_review", "source": "Crossref"}
{"key": "grile_2022_statistical", "title": "Statistical Reliability Estimation for Satellites Operating from 1991-2020 with Payload Reliability Focus", "authors": ["Travis M. Grile", "Robert A. Bettinger"], "year": 2022, "venue": "International Conference on System Reliability and Safety", "doi": "10.1109/icsrs56243.2022.10067366", "url": "https://doi.org/10.1109/ICSRS56243.2022.10067366", "abstract": "Reliability analysis using satellite failure data for satellites launched in the years 1991-2020 is presented. The analysis is conducted using nonparametric, as well as parametric methods, specifically focusing on the reliability contribution of the payload subcomponent. The Kaplan-Meier estimator is utilized to derive a nonparametric reliability estimate from the raw failure data. With the nonparametric function produced, a Weibull distribution is applied to attempt and parameterize the behavio", "grade": "A", "theme": "ch3_literature_review", "source": "SemanticScholar"}
{"key": "kim_2011_spacecraft", "title": "Spacecraft electrical power subsystem: Failure behavior, reliability, and multi-state failure analyses", "authors": ["So Young Kim", "Jean‐François Castet", "Joseph H. Saleh"], "year": 2011, "venue": "Reliability Engineering & System Safety", "doi": "10.1016/j.ress.2011.10.005", "url": "https://doi.org/10.1016/j.ress.2011.10.005", "abstract": "", "grade": "A", "theme": "ch3_literature_review", "source": "OpenAlex"}
{"key": "wayer_2013_spacecraft", "title": "Spacecraft attitude control subsystem: Reliability, multi-state analyses, and comparative failure behavior in LEO and GEO", "authors": ["Jessica K. Wayer", "Jean‐François Castet", "Joseph H. Saleh"], "year": 2013, "venue": "Acta Astronautica", "doi": "10.1016/j.actaastro.2012.12.003", "url": "https://doi.org/10.1016/j.actaastro.2012.12.003", "abstract": "", "grade": "A", "theme": "ch3_literature_review", "source": "OpenAlex"}
{"key": "chiu_2022_lessons", "title": "Lessons Learned from IDEASSat: Design, Testing, on Orbit Operations, and Anomaly Analysis of a First University CubeSat Intended for Ionospheric Science", "authors": ["Y. Chiu", "L. Chang", "C. Chao", "Tzu-Ya Tai", "Kai Cheng", "Hsin-Tzu Liu"], "year": 2022, "venue": "Aerospace", "doi": "10.3390/aerospace9020110", "url": "https://doi.org/10.3390/aerospace9020110", "abstract": "Given the pervasive use of satellite and over the horizon wireless communication technology in modern society, ionospheric disturbances that can disrupt such services are a crucial consideration. Ionospheric irregularities, plasma bubbles and other phenomena can have a great impact on satellite navigation and communications, impacting other systems reliant on such technologies. The Ionospheric Dynamics and Attitude Subsystem Satellite (IDEASSat) was a 3U developed by National Central University ", "grade": "A", "theme": "ch3_literature_review;ch7_discussion", "source": "SemanticScholar"}
{"key": "guo_2014_statistical", "title": "Statistical analysis and modelling of small satellite reliability", "authors": ["Jian Guo", "Liora Monas", "Eberhard Gill"], "year": 2014, "venue": "Acta Astronautica", "doi": "10.1016/j.actaastro.2014.01.018", "url": "https://doi.org/10.1016/j.actaastro.2014.01.018", "abstract": "", "grade": "A", "theme": "ch3_literature_review;ch7_discussion", "source": "OpenAlex"}
{"key": "dunwoody_2022_thermal", "title": "Thermal Vacuum Test Campaign of the EIRSAT-1 Engineering Qualification Model", "authors": ["Rachel Dunwoody", "Jack Reilly", "David Murphy", "Maeve Doyle", "Joseph Thompson", "Gabriel Finneran"], "year": 2022, "venue": "Aerospace", "doi": "10.3390/aerospace9020099", "url": "https://doi.org/10.3390/aerospace9020099", "abstract": "", "grade": "A", "theme": "ch5_research_design", "source": "OpenAlex"}
{"key": "leiva_2024_the", "title": "The 3Cat-4 Spacecraft Thermal Analysis and Thermal Vacuum Test Campaign Results", "authors": ["Jeimmy Nataly Buitrago-Leiva", "Inés Terraza Palanca", "Luis Contreras-Benito", "Lara Fernandez", "G. Gracia-Sola", "Cristina del Castillo Sancho"], "year": 2024, "venue": "Aerospace", "doi": "10.3390/aerospace11100805", "url": "https://doi.org/10.3390/aerospace11100805", "abstract": "", "grade": "A", "theme": "ch5_research_design", "source": "OpenAlex"}
{"key": "ott_2006_space", "title": "Space flight requirements for fiber optic components: qualification testing and lessons learned", "authors": ["Melanie N. Ott", "Xiaodan Linda Jin", "Richard F. Chuska", "Patricia R. Friedberg", "Mary C. Malenab", "Adam Matuszeski"], "year": 2006, "venue": "Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE", "doi": "10.1117/12.669880", "url": "https://doi.org/10.1117/12.669880", "abstract": "", "grade": "A", "theme": "ch5_research_design", "source": "OpenAlex"}
{"key": "viquerat_2015_functional", "title": "Functional and Qualification Testing of the InflateSail Technology Demonstrator", "authors": ["Andrew Viquerat", "Mark Schenk", "Vaios Lappas", "Berry Sanders"], "year": 2015, "venue": "", "doi": "10.2514/6.2015-1627", "url": "https://doi.org/10.2514/6.2015-1627", "abstract": "", "grade": "A", "theme": "ch5_research_design", "source": "OpenAlex"}
{"key": "kirschenbaum_2020_building", "title": "Building Blocks for the Future: TRL 10 and 11 Commercial Spacecraft Avionics", "authors": ["L. Kirschenbaum", "J. Andrada", "Laurie Chappell", "P. Lord", "Yann Renault"], "year": 2020, "venue": "IEEE Aerospace Conference", "doi": "10.1109/aero47225.2020.9172456", "url": "https://doi.org/10.1109/AERO47225.2020.9172456", "abstract": "One of the obstacles to achieving a cost-effective high-reliability paradigm has been the need to reinvent the command and data handling infrastructure on a spacecraft by spacecraft basis. The availability of a family of commercial spacecraft avionics units with extensive reliable flight heritage offers an attractive approach to efficiently implement a spacecraft bus tailored to support specific mission needs without the concomitant redesign, redevelopment, or requalification of the avionics fra", "grade": "A", "theme": "ch2_theoretical_framework", "source": "SemanticScholar"}
{"key": "olechowski_2015_technology", "title": "Technology Readiness Levels at 40: A Study of State-of-the-Art Use, Challenges, and Opportunities", "authors": ["Alison Olechowski", "Steven D. Eppinger", "Nitin Joglekar"], "year": 2015, "venue": "SSRN Electronic Journal", "doi": "10.2139/ssrn.2588524", "url": "https://doi.org/10.2139/ssrn.2588524", "abstract": "", "grade": "B", "theme": "ch2_theoretical_framework", "source": "OpenAlex"}
{"key": "a_2025_the", "title": "The Proof in Heritage - Long-Term Performance Analysis of the ASTRO APS Star Tracker & Lessons Learned from On-Orbit Data", "authors": ["Murphy A."], "year": 2025, "venue": "Proceedings of the International Astronautical Congress Iac", "doi": "10.52202/083095-0026", "url": "https://doi.org/10.52202/083095-0026", "abstract": "", "grade": "A", "theme": "ch2_theoretical_framework", "source": "Scopus"}
{"key": "dubos_2007_technology", "title": "Technology Readiness Level, Schedule Risk and Slippage in Spacecraft Design: Data Analysis and Modeling", "authors": ["Gregory F. Dubos", "Joseph H. Saleh", "Robert D. Braun"], "year": 2007, "venue": "", "doi": "10.2514/6.2007-6020", "url": "https://doi.org/10.2514/6.2007-6020", "abstract": "", "grade": "A", "theme": "ch2_theoretical_framework", "source": "OpenAlex"}
{"key": "yilin_2009_a", "title": "A Study of Influence of Technology Readiness Level on Spacecraft Development Schedule", "authors": ["Zhu Yilin"], "year": 2009, "venue": "Spacecraft Engineering", "doi": null, "url": "https://en.cnki.com.cn/Article_en/CJFDTOTAL-HTGC200902004.htm", "abstract": "", "grade": "C", "theme": "ch2_theoretical_framework", "source": "OpenAlex"}
{"key": "hirshorn_2016_final", "title": "Final Report of the NASA Technology Readiness Assessment (TRA) Study Team", "authors": ["Steven R. Hirshorn", "Sharon Jefferies"], "year": 2016, "venue": "NASA STI Repository (National Aeronautics and Space Administration)", "doi": null, "url": "http://hdl.handle.net/2060/20170005794", "abstract": "", "grade": "B", "theme": "ch2_theoretical_framework", "source": "OpenAlex"}
{"key": "levchenko_2018_space", "title": "Space micropropulsion systems for Cubesats and small satellites: From proximate targets to furthermost frontiers", "authors": ["Igor Levchenko", "Kateryna Bazaka", "Yongjie Ding", "Yevgeny Raitses", "Stéphane Mazouffre", "Torsten Henning"], "year": 2018, "venue": "Applied Physics Reviews", "doi": "10.1063/1.5007734", "url": "https://doi.org/10.1063/1.5007734", "abstract": "", "grade": "A", "theme": "ch7_discussion", "source": "OpenAlex"}
{"key": "atz_2023_on", "title": "On-orbit No-contact Anomaly Debug Procedure for the CuPID Cubesat", "authors": ["E. Atz", "B. Walsh", "C. O’Brien"], "year": 2023, "venue": "", "doi": null, "url": "https://arxiv.org/abs/2304.04702", "abstract": "The CuPID CubeSat Observatory was a 6U cubesat launched into low-Earth orbit with a ride-share opportunity in Fall 2021. The mission was supported by NASA's Heliophysics division and motivated scientifically with the objective to image X-rays produced in the magnetosphere. After launch, the team was unable to communicate with the spacecraft. This document presents the testing and analysis of attempts to contact the spacecraft and investigation to the likely cause of failure with the radio system", "grade": "B", "theme": "ch7_discussion;ch3_literature_review", "source": "SemanticScholar"}
{"key": "madni_2020_dtn", "title": "DTN and Non-DTN Routing Protocols for Inter-CubeSat Communications: A comprehensive survey", "authors": ["Mohamed Atef Ali Madni", "Saeid Iranmanesh", "Raad Raad"], "year": 2020, "venue": "Electronics", "doi": "10.3390/electronics9030482", "url": "https://doi.org/10.3390/electronics9030482", "abstract": "", "grade": "A", "theme": "ch7_discussion", "source": "OpenAlex"}
{"key": "siddique_2025_ai", "title": "AI-Augmented SysML Framework for Early Failure Mitigation in Small Satellite Communications: Link-Budget Verification and Trade Study Integration", "authors": ["Iqtiar Md Siddique", "A. Siddique", "Ivan A Renteria", "Eric D Smith"], "year": 2025, "venue": "International Journal of Artificial Intelligence in Mechanical Engineering", "doi": "10.46610/ijaime.2025.v01i02.003", "url": "https://doi.org/10.46610/ijaime.2025.v01i02.003", "abstract": "Multi-billion-dollar losses in small satellite programs have been linked to early communication failures and unverified link budgets. Ensuring reliable communication from the start has become a central difficulty for aerospace projects. When faults occur, missions are delayed, confidence in the program is damaged, and weaknesses in conventional approaches are revealed. In many cases, RF margin problems are discovered late in the lifecycle, when redesigns are costly. The challenge is intensified ", "grade": "A", "theme": "ch7_discussion", "source": "SemanticScholar"}
{"key": "kang_2016_on", "title": "On-Orbit Thermal Design and Validation of 1 U Standardized CubeSat of STEP Cube Lab", "authors": ["Soo-Jin Kang", "Hyun-Ung Oh"], "year": 2016, "venue": "International Journal of Aerospace Engineering", "doi": "10.1155/2016/4213189", "url": "https://doi.org/10.1155/2016/4213189", "abstract": "", "grade": "A", "theme": "ch7_discussion", "source": "OpenAlex"}
{"key": "peroy_2019_cubesat", "title": "CubeSat Mission: From Design to Operation", "authors": ["Cristóbal Nieto‐Peroy", "M. Reza Emami"], "year": 2019, "venue": "Applied Sciences", "doi": "10.3390/app9153110", "url": "https://doi.org/10.3390/app9153110", "abstract": "", "grade": "A", "theme": "ch7_discussion", "source": "OpenAlex"}
{"key": "venturini_2018_improving", "title": "Improving Mission Success of CubeSats", "authors": ["C. C. Venturini", "Barbara Braun", "David Hinkley", "Greg Berg"], "year": 2018, "venue": "Digital Commons - USU (Utah State University)", "doi": null, "url": "https://digitalcommons.usu.edu/smallsat/2018/all2018/273", "abstract": "", "grade": "C", "theme": "ch7_discussion", "source": "OpenAlex"}
{"key": "cheong_2020_a", "title": "A Robust Framework for Low-Cost Cubesat Scientific Missions", "authors": ["Joon Wayn Cheong", "Benjamin J. Southwell", "William P. Andrew", "Elias Aboutanios", "Chung Lam", "Tom Croston"], "year": 2020, "venue": "Space Science Reviews", "doi": "10.1007/s11214-019-0632-8", "url": "https://doi.org/10.1007/s11214-019-0632-8", "abstract": "", "grade": "A", "theme": "ch7_discussion", "source": "OpenAlex"}
{"key": "roffe_2020_evaluation", "title": "Evaluation of Algorithm-Based Fault Tolerance for Machine Learning and Computer Vision under Neutron Radiation", "authors": ["Seth Roffe", "A. George"], "year": 2020, "venue": "IEEE Aerospace Conference", "doi": "10.1109/aero47225.2020.9172799", "url": "https://doi.org/10.1109/AERO47225.2020.9172799", "abstract": "In the past decade, there has been a push for deployment of commercial-off-the-shelf (COTS) avionics due in part to cheaper costs and the desire for more performance. Traditional radiation-hardened processors are expensive and only provide limited processing power. With smaller mission budgets and the need for more computational power, low-cost and highperformance COTS solutions become more attractive for these missions. Due to the computational capacity enhancements provided by COTS technology,", "grade": "A", "theme": "ch4_data_and_measurement", "source": "SemanticScholar"}
{"key": "peng_2012_satellite", "title": "Satellite reliability modeling with modified Weibull extension distribution", "authors": ["Weiwen Peng", "Hua Zhang", "Hong-Zhong Huang", "Zhean Gong", "Yu Liu"], "year": 2012, "venue": "2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering", "doi": "10.1109/icqr2mse.2012.6246218", "url": "https://doi.org/10.1109/icqr2mse.2012.6246218", "abstract": "", "grade": "A", "theme": "ch3_literature_review", "source": "Crossref"}
{"key": "xu_2024_statistical", "title": "Statistical Analysis and Modeling of Small Satellite Reliability", "authors": ["Kaiqi Xu", "Mario P. Brito", "Charlie Yound", "M.K.S. Al-Mhdawi", "Nicholas Dacre", "David Baxter"], "year": 2024, "venue": "", "doi": "10.2139/ssrn.5015943", "url": "https://doi.org/10.2139/ssrn.5015943", "abstract": "", "grade": "B", "theme": "ch3_literature_review;ch7_discussion", "source": "Crossref"}
{"key": "perumal_2021_statistical", "title": "Statistical Analysis of Small Satellite Reliability: 1990-2019", "authors": ["Raja Pandi Perumal", "Holger Voos", "Florio Dalla Vedova", "Hubert Moser"], "year": 2021, "venue": "AIAA Propulsion and Energy 2021 Forum", "doi": "10.2514/6.2021-3688", "url": "https://doi.org/10.2514/6.2021-3688", "abstract": "", "grade": "A", "theme": "ch3_literature_review;ch7_discussion", "source": "Crossref"}
{"key": "rubin_2005_causal", "title": "Causal Inference Using Potential Outcomes", "authors": ["Donald B Rubin"], "year": 2005, "venue": "Journal of the American Statistical Association", "doi": "10.1198/016214504000001880", "url": "https://doi.org/10.1198/016214504000001880", "abstract": "", "grade": "A", "theme": "ch6_analysis_plan", "source": "Crossref"}
{"key": "wu_2025_causal", "title": "Causal Inference in Conjoint Analysis: Logit Models vs. Potential Outcomes", "authors": ["Zheng Wu", "Guocong Zhai", "Prateek Bansal"], "year": 2025, "venue": "", "doi": "10.2139/ssrn.5240767", "url": "https://doi.org/10.2139/ssrn.5240767", "abstract": "", "grade": "B", "theme": "ch6_analysis_plan", "source": "Crossref"}
{"key": "zhou_2021_optimal", "title": "Optimal designs for discrete-time survival models with random effects", "authors": ["Xiao‐Dong Zhou", "Yunjuan Wang", "R. Yue"], "year": 2021, "venue": "Lifetime Data Analysis", "doi": "10.1007/s10985-020-09512-2", "url": "https://doi.org/10.1007/s10985-020-09512-2", "abstract": "", "grade": "A", "theme": "ch6_analysis_plan", "source": "SemanticScholar"}
{"key": "lmaz_2024_causal", "title": "Causal inference under selection on observables in operations management research: Matching methods and synthetic controls", "authors": ["Övünç Yılmaz", "Yoonseock Son", "Guangzhi Shang", "H. A. Arslan"], "year": 2024, "venue": "Journal of Operations Management", "doi": "10.1002/joom.1318", "url": "https://doi.org/10.1002/joom.1318", "abstract": "The majority of recent empirical papers in operations management (OM) employ observational data to investigate the causal effects of a treatment, such as program or policy adoption. However, as observational data lacks the benefit of random treatment assignment, estimating causal effects poses challenges. In the specific scenario where one can reasonably assume that all confounding factors are observed—referred to as selection on observables—matching methods and synthetic controls can assist res", "grade": "A", "theme": "ch6_analysis_plan", "source": "SemanticScholar"}
{"key": "koulage_2024_reliability", "title": "Reliability Prediction Using Additive Weibull Model", "authors": ["Dasharath Baliram Koulage", "Kanchan Mondal", "Dattatray Shriniwas Manerikar"], "year": 2024, "venue": "SAE technical paper series", "doi": "10.4271/2024-01-5101", "url": "https://doi.org/10.4271/2024-01-5101", "abstract": "This paper presents additive Weibull reliability model using customer complaints\n data and finite element fatigue (FEA) analysis data. Warranty data provides\n insight into the underlying customer issues. Reliability engineers prepare a\n prediction model based on this data to forecast the failure rate of components.\n However, warranty data has certain limitations with respect to prediction\n modeling. The warranty period covers only the infant mortality and useful life\n zone of a bathtub curve. Th", "grade": "A", "theme": "ch3_literature_review", "source": "SemanticScholar"}
{"key": "poletto_2022_an", "title": "An Alternative to the Exponential and Weibull Reliability Models", "authors": ["James Peter Poletto"], "year": 2022, "venue": "IEEE Access", "doi": "10.1109/access.2022.3219426", "url": "https://doi.org/10.1109/ACCESS.2022.3219426", "abstract": "The two reliability models most widely used in engineering applications are the exponential and the Weibull. Both models are deficient because their failure rates do not conform to the bathtub curve nor specify the infant mortality period. In addition, Weibull applications require lifetime data which entails testing or field observations and is usually proprietary. The advantage of the exponential model is that it can be supported by both lifetime and MIL handbook data, the latter being publicly", "grade": "A", "theme": "ch3_literature_review", "source": "SemanticScholar"}
{"key": "dong_2018_combining", "title": "Combining Modified Weibull Distribution Models for Power System Reliability Forecast", "authors": ["M. Dong", "A. Nassif"], "year": 2018, "venue": "IEEE Transactions on Power Systems", "doi": "10.1109/tpwrs.2018.2877743", "url": "https://doi.org/10.1109/TPWRS.2018.2877743", "abstract": "Under the deregulated environment, electric utility companies have been encouraged to ensure maximum system reliability through the employment of cost-effective long-term asset management strategies. Previously, the age based Weibull distribution has been used vastly for modeling and forecasting aging failures. However, this model is only based on asset age and does not consider additional information such as asset infant mortality period and equipment energization delay. Some works on modifying", "grade": "A", "theme": "ch3_literature_review", "source": "SemanticScholar"}
{"key": "c_2026_modular", "title": "Modular and Highly Reliable COTS-Based Power Conditioning and Distribution Unit for Small Satellites", "authors": ["Torres Vergara C."], "year": 2026, "venue": "Aerospace", "doi": "10.3390/aerospace13040364", "url": "https://doi.org/10.3390/aerospace13040364", "abstract": "", "grade": "A", "theme": "ch4_data_and_measurement;ch7_discussion", "source": "Scopus"}
{"key": "hu_2024_small", "title": "Small data reliability analysis in concrete three-point bending tests: A Weibull mixture model approach based on Weibull fracture theory", "authors": ["Weiting Hu", "Quan Qian"], "year": 2024, "venue": "Engineering Fracture Mechanics", "doi": "10.1016/j.engfracmech.2024.110344", "url": "https://doi.org/10.1016/j.engfracmech.2024.110344", "abstract": "", "grade": "A", "theme": "ch3_literature_review", "source": "Crossref"}
{"key": "benaicha_2014_weibull", "title": "Weibull Mixture Model for Reliability Analysis", "authors": ["H. Benaicha", "A. Chaker"], "year": 2014, "venue": "International Review of Electrical Engineering (IREE)", "doi": "10.15866/iree.v9i5.4021", "url": "https://doi.org/10.15866/iree.v9i5.4021", "abstract": "", "grade": "A", "theme": "ch3_literature_review", "source": "Crossref"}
{"key": "radiation_2016_radiation", "title": "Radiation Hardness Assurance (RHA) Guideline", "authors": [], "year": 2016, "venue": "NASA NTRS", "doi": null, "url": "https://ntrs.nasa.gov/citations/20160009305", "abstract": "", "grade": "B", "theme": "ch4_data_and_measurement", "source": "NTRS"}
{"key": "huang_2025_relative", "title": "Relative Bias Under Imperfect Identification in Observational Causal Inference", "authors": ["Melody Y. Huang", "Cory McCartan"], "year": 2025, "venue": "", "doi": null, "url": "https://arxiv.org/abs/2507.23743", "abstract": "To conduct causal inference in observational settings, researchers must rely on certain identifying assumptions. In practice, these assumptions are unlikely to hold exactly. This paper considers the bias of selection-on-observables, instrumental variables, and proximal inference estimates under violations of their identifying assumptions. We develop bias expressions for IV and proximal inference that show how violations of their respective assumptions are amplified by any unmeasured confounding ", "grade": "B", "theme": "ch6_analysis_plan", "source": "SemanticScholar"}
{"key": "sadraoui_2025_improving", "title": "Improving wind turbine reliability through the analysis of critical component failures, parametric modelling, and maintenance optimization", "authors": ["Youssef Sadraoui", "Mohamed Er-ratby", "Moulay Saddik Kadiri", "A. Kobi"], "year": 2025, "venue": "Wind Engineering : The International Journal of Wind Power", "doi": "10.1177/0309524x251386356", "url": "https://doi.org/10.1177/0309524x251386356", "abstract": "This study conducts a reliability analysis of a wind turbine system, focusing on shaft, gearbox, and generator. The goal is to evaluate their time between failures and determine the most suitable statistical models to describe their failure behaviours. Four distributions (3-parameter Weibull, 2-parameter exponential, normal, and 3-parameter lognormal) were assessed using maximum likelihood and least squares estimation with goodness-of-fit tests including Anderson-Darling (ADC) and Pearson correl", "grade": "A", "theme": "ch3_literature_review", "source": "SemanticScholar"}
{"key": "akay_2025_systematic", "title": "Systematic review of engineering and testing approaches for radiation hardness assurance in commercial space avionics", "authors": ["Jasper Dijks; Sybren de Jong; Alessandra Menicucci; Iklim Akay"], "year": 2025, "venue": "Acta Astronautica", "doi": "10.1016/j.actaastro.2025.07.055", "url": "https://doi.org/10.1016/j.actaastro.2025.07.055", "abstract": "", "grade": "A", "theme": "ch4_data_and_measurement", "source": "ACTA-brain"}
{"key": "hainmueller_2011_entropy", "title": "Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies", "authors": ["Jens Hainmueller"], "year": 2011, "venue": "SSRN Electronic Journal", "doi": "10.2139/ssrn.1904869", "url": "https://doi.org/10.2139/ssrn.1904869", "abstract": "", "grade": "B", "theme": "ch6_analysis_plan", "source": "OpenAlex"}
{"key": "dehejia_2002_propensity", "title": "Propensity Score Matching Methods for Non-Experimental Causal Studies", "authors": ["Rajeev Dehejia", "Sadek Wahba"], "year": 2002, "venue": "SSRN Electronic Journal", "doi": "10.2139/ssrn.1084955", "url": "https://doi.org/10.2139/ssrn.1084955", "abstract": "", "grade": "B", "theme": "ch6_analysis_plan", "source": "OpenAlex"}
{"key": "nasa_2018_nasa", "title": "NASA Electronic Parts and Packaging (NEPP) Program - Innovative EEE Parts Resource for the Future", "authors": [], "year": 2018, "venue": "NASA NTRS", "doi": null, "url": "https://ntrs.nasa.gov/citations/20180005659", "abstract": "", "grade": "B", "theme": "ch4_data_and_measurement", "source": "NTRS"}
{"key": "imai_2019_when", "title": "When Should We Use Unit Fixed Effects Regression Models for Causal Inference with Longitudinal Data?", "authors": ["K. Imai", "In Song Kim"], "year": 2019, "venue": "American Journal of Political Science", "doi": "10.1111/ajps.12417", "url": "https://doi.org/10.1111/AJPS.12417", "abstract": "Many researchers use unit fixed effects regression models as their default methods for causal inference with longitudinal data. We show that the ability of these models to adjust for unobserved time‐invariant confounders comes at the expense of dynamic causal relationships, which are permitted under an alternative selection‐on‐observables approach. Using the nonparametric directed acyclic graph, we highlight two key causal identification assumptions of unit fixed effects models: Past treatments ", "grade": "A", "theme": "ch6_analysis_plan", "source": "SemanticScholar"}
{"key": "j_2025_the", "title": "The benefits of hybrid electronic architecture mixing cots and rad-tolerant components as used in ELOIS payload computer and CSIMBA hyperspectral camera projects", "authors": ["Nuttin J."], "year": 2025, "venue": "Proceedings of SPIE the International Society for Optical Engineering", "doi": "10.1117/12.3061325", "url": "https://doi.org/10.1117/12.3061325", "abstract": "", "grade": "A", "theme": "ch4_data_and_measurement", "source": "Scopus"}
{"key": "r_2025_irradiation", "title": "Irradiation Testing of Electronic Space Components in the Framework of ASIF Infrastructure", "authors": ["Carpentiero R."], "year": 2025, "venue": "2025 IEEE International Workshop on Metrology for Aerospace Metroaerospace 2025 Proceedings", "doi": "10.1109/metroaerospace64938.2025.11114678", "url": "https://doi.org/10.1109/MetroAeroSpace64938.2025.11114678", "abstract": "", "grade": "A", "theme": "ch4_data_and_measurement", "source": "Scopus"}
{"key": "stottler_2020_on", "title": "On-board, Autonomous, Hybrid Spacecraft Subsystem Fault and Anomaly Detection, Diagnosis, and Recovery", "authors": ["Richard Stottler", " Stottler Henke Associates", " Inc.; Sowmya Ramachandran", " Stottler Henke Associates", " Inc.; Christian Belardi", " Stottler Henke Associates", " Inc.; Rocky Mandayam", " Stottler Henke Associates", " Inc."], "year": 2020, "venue": "AMOS Conference", "doi": null, "url": "https://amostech.space/year/2020/on-board-autonomous-hybrid-spacecraft-subsystem-fault-and-anomaly-detection-diagnosis-and-recovery/", "abstract": "", "grade": "C", "theme": "ch3_literature_review", "source": "AMOS-brain"}
{"key": "stottler_2023_autonomous", "title": "Autonomous, Hybrid Space System Fault and Anomaly Detection, Diagnosis, Root Cause Determination, and Recovery", "authors": ["Richard Stottler", " Stottler Henke Associates", " Inc.; Sowmya Ramachandran", " Stottler Henke Associates", " Inc.; Chris Healy", " Stottler Henke Associates", " Inc.; Abhimanyu Singhal", " Stottler Henke Associates", " Inc."], "year": 2023, "venue": "AMOS Conference", "doi": "10.64861/xhro4751", "url": "https://amostech.space/year/2023/autonomous-hybrid-space-system-fault-and-anomaly-detection-diagnosis-root-cause-determination-and-recovery-2/", "abstract": "", "grade": "C", "theme": "ch3_literature_review", "source": "AMOS-brain"}
{"key": "castet_2009_satellite", "title": "Satellite Reliability: Statistical Data Analysis and Modeling", "authors": ["Jean‐François Castet", "Joseph H. Saleh"], "year": 2009, "venue": "Journal of Spacecraft and Rockets", "doi": "10.2514/1.42243", "url": "https://doi.org/10.2514/1.42243", "abstract": "", "grade": "A", "theme": "ch3_literature_review", "source": "OpenAlex"}
{"key": "monteiro_2019_integration", "title": "Integration and Verification Approach of ISTSat-1 CubeSat", "authors": ["João P. Monteiro", "Rui M. Rocha", "Alexandre Ferreira da Silva", "Rúben Afonso", "Nuno V. Ramos"], "year": 2019, "venue": "Aerospace", "doi": "10.3390/aerospace6120131", "url": "https://doi.org/10.3390/aerospace6120131", "abstract": "", "grade": "A", "theme": "ch7_discussion", "source": "OpenAlex"}
{"key": "devaraj_2019_planet", "title": "Planet High Speed Radio: Crossing Gbps from a 3U CubeSat", "authors": ["Kiruthika Devaraj", "Matt Ligon", "Eric Blossom", "Joseph Breu", "Bryan Klofas", "Kyle Colton"], "year": 2019, "venue": "Utah State Research and Scholarship (Utah State University)", "doi": null, "url": "https://digitalcommons.usu.edu/smallsat/2019/all2019/106", "abstract": "", "grade": "C", "theme": "ch7_discussion", "source": "OpenAlex"}
{"key": "millan_2019_small", "title": "Small satellites for space science", "authors": ["R. M. Millan", "R. von Steiger", "Meir Ariel", "С.А. Барталев", "M. Borgeaud", "Stefano Campagnola"], "year": 2019, "venue": "Advances in Space Research", "doi": "10.1016/j.asr.2019.07.035", "url": "https://doi.org/10.1016/j.asr.2019.07.035", "abstract": "", "grade": "A", "theme": "ch7_discussion", "source": "OpenAlex"}
{"key": "pearl_2009_causal", "title": "Causal inference in statistics: An overview", "authors": ["Judea Pearl"], "year": 2009, "venue": "Statistics Surveys", "doi": "10.1214/09-ss057", "url": "https://doi.org/10.1214/09-ss057", "abstract": "", "grade": "A", "theme": "ch6_analysis_plan", "source": "OpenAlex"}
{"key": "vandenbroucke_2007_strengthening", "title": "Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration", "authors": ["Jan P. Vandenbroucke", "Erik von Elm", "Douglas G. Altman", "Peter C Gøtzsche", "Cynthia D. Mulrow", "Stuart Pocock"], "year": 2007, "venue": "PLoS Medicine", "doi": "10.1371/journal.pmed.0040297", "url": "https://doi.org/10.1371/journal.pmed.0040297", "abstract": "", "grade": "A", "theme": "ch6_analysis_plan", "source": "OpenAlex"}
{"key": "greenland_1999_confounding", "title": "Confounding and Collapsibility in Causal Inference", "authors": ["Sander Greenland", "Judea Pearl", "James M. Robins"], "year": 1999, "venue": "Statistical Science", "doi": "10.1214/ss/1009211805", "url": "https://doi.org/10.1214/ss/1009211805", "abstract": "", "grade": "A", "theme": "ch6_analysis_plan", "source": "OpenAlex"}
{"key": "pearl_2010_an", "title": "An Introduction to Causal Inference", "authors": ["Judea Pearl"], "year": 2010, "venue": "The International Journal of Biostatistics", "doi": "10.2202/1557-4679.1203", "url": "https://doi.org/10.2202/1557-4679.1203", "abstract": "", "grade": "A", "theme": "ch6_analysis_plan", "source": "OpenAlex"}
{"key": "diamond_2012_genetic", "title": "Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance in Observational Studies", "authors": ["Alexis Diamond", "Jasjeet S. Sekhon"], "year": 2012, "venue": "The Review of Economics and Statistics", "doi": "10.1162/rest_a_00318", "url": "https://doi.org/10.1162/rest_a_00318", "abstract": "", "grade": "A", "theme": "ch6_analysis_plan", "source": "OpenAlex"}
{"key": "bareinboim_2016_causal", "title": "Causal inference and the data-fusion problem", "authors": ["Elias Bareinboim", "Judea Pearl"], "year": 2016, "venue": "Proceedings of the National Academy of Sciences", "doi": "10.1073/pnas.1510507113", "url": "https://doi.org/10.1073/pnas.1510507113", "abstract": "", "grade": "A", "theme": "ch6_analysis_plan", "source": "OpenAlex"}
{"key": "austin_2017_a", "title": "A Tutorial on Multilevel Survival Analysis: Methods, Models and Applications", "authors": ["Peter C. Austin"], "year": 2017, "venue": "International Statistical Review", "doi": "10.1111/insr.12214", "url": "https://doi.org/10.1111/insr.12214", "abstract": "", "grade": "A", "theme": "ch6_analysis_plan", "source": "OpenAlex"}
{"key": "powell_1994_survival", "title": "Survival Analysis: State of the Art.", "authors": ["Suzanne J. Powell", "J. P. Klein", "Pranay Goel"], "year": 1994, "venue": "Journal of the Royal Statistical Society Series D (The Statistician)", "doi": "10.2307/2348153", "url": "https://doi.org/10.2307/2348153", "abstract": "", "grade": "A", "theme": "ch6_analysis_plan", "source": "OpenAlex"}
{"key": "rubin_1997_estimating", "title": "Estimating Causal Effects from Large Data Sets Using Propensity Scores", "authors": ["Donald B. Rubin"], "year": 1997, "venue": "Annals of Internal Medicine", "doi": "10.7326/0003-4819-127-8_part_2-199710151-00064", "url": "https://doi.org/10.7326/0003-4819-127-8_part_2-199710151-00064", "abstract": "", "grade": "A", "theme": "ch6_analysis_plan", "source": "OpenAlex"}
{"key": "stuart_2010_matching", "title": "Matching Methods for Causal Inference: A Review and a Look Forward", "authors": ["Elizabeth A. Stuart"], "year": 2010, "venue": "Statistical Science", "doi": "10.1214/09-sts313", "url": "https://doi.org/10.1214/09-sts313", "abstract": "", "grade": "A", "theme": "ch6_analysis_plan", "source": "OpenAlex"}
{"key": "austin_2009_balance", "title": "Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity‐score matched samples", "authors": ["Peter C. Austin"], "year": 2009, "venue": "Statistics in Medicine", "doi": "10.1002/sim.3697", "url": "https://doi.org/10.1002/sim.3697", "abstract": "", "grade": "A", "theme": "ch6_analysis_plan", "source": "OpenAlex"}
{"key": "iacus_2011_causal", "title": "Causal Inference without Balance Checking: Coarsened Exact Matching", "authors": ["Stefano M. Iacus", "Gary King", "Giuseppe Porro"], "year": 2011, "venue": "Political Analysis", "doi": "10.1093/pan/mpr013", "url": "https://doi.org/10.1093/pan/mpr013", "abstract": "", "grade": "A", "theme": "ch6_analysis_plan", "source": "OpenAlex"}
{"key": "brookhart_2006_variable", "title": "Variable Selection for Propensity Score Models", "authors": ["M. Alan Brookhart", "Sebastian Schneeweiß", "Kenneth J. Rothman", "Robert J. Glynn", "Jerry Avorn", "Til Stürmer‎"], "year": 2006, "venue": "American Journal of Epidemiology", "doi": "10.1093/aje/kwj149", "url": "https://doi.org/10.1093/aje/kwj149", "abstract": "", "grade": "A", "theme": "ch6_analysis_plan", "source": "OpenAlex"}
{"key": "mccaffrey_2013_a", "title": "A tutorial on propensity score estimation for multiple treatments using generalized boosted models", "authors": ["Daniel F. McCaffrey", "Beth Ann Griffin", "Daniel Almirall", "Mary E. Slaughter", "Rajeev Ramchand", "Lane F. Burgette"], "year": 2013, "venue": "Statistics in Medicine", "doi": "10.1002/sim.5753", "url": "https://doi.org/10.1002/sim.5753", "abstract": "", "grade": "A", "theme": "ch6_analysis_plan", "source": "OpenAlex"}
{"key": "rubin_2006_the", "title": "The design <i>versus</i> the analysis of observational studies for causal effects: parallels with the design of randomized trials", "authors": ["Donald B. Rubin"], "year": 2006, "venue": "Statistics in Medicine", "doi": "10.1002/sim.2739", "url": "https://doi.org/10.1002/sim.2739", "abstract": "", "grade": "A", "theme": "ch6_analysis_plan", "source": "OpenAlex"}
{"key": "castet_2009_geosynchronous", "title": "Geosynchronous communication satellite reliability: statistical data analysis and modeling", "authors": ["J.-F. Castet", "J.H. Saleh"], "year": 2009, "venue": "IET Conference Publications", "doi": "10.1049/cp.2009.1196", "url": "https://doi.org/10.1049/cp.2009.1196", "abstract": "", "grade": "A", "theme": "ch3_literature_review", "source": "Crossref"}
{"key": "spacecraft_2011_spacecraft", "title": "Spacecraft Subsystem Reliability", "authors": [], "year": 2011, "venue": "Spacecraft Reliability and Multi‐State Failures", "doi": "10.1002/9781119994077.ch5", "url": "https://doi.org/10.1002/9781119994077.ch5", "abstract": "", "grade": "A", "theme": "ch3_literature_review", "source": "Crossref"}
{"key": "jiang_1999_weibull", "title": "Weibull and inverse Weibull mixture models allowing negative weights", "authors": ["R. Jiang", "M.J. Zuo", "H.-X. Li"], "year": 1999, "venue": "Reliability Engineering &amp; System Safety", "doi": "10.1016/s0951-8320(99)00037-x", "url": "https://doi.org/10.1016/s0951-8320(99)00037-x", "abstract": "", "grade": "A", "theme": "ch3_literature_review", "source": "Crossref"}
{"key": "ar_2004_reliability", "title": "Reliability approximation using finite Weibull mixture distributions", "authors": ["T. Bučar", "M. Nagode", "M. Fajdiga"], "year": 2004, "venue": "Reliability Engineering &amp; System Safety", "doi": "10.1016/j.ress.2003.11.008", "url": "https://doi.org/10.1016/j.ress.2003.11.008", "abstract": "", "grade": "A", "theme": "ch3_literature_review", "source": "Crossref"}
{"key": "ducros_2018_bayesian", "title": "Bayesian estimation of Weibull mixture in heavily censored data setting", "authors": ["Florence Ducros", "Patrick Pamphile"], "year": 2018, "venue": "Reliability Engineering &amp; System Safety", "doi": "10.1016/j.ress.2018.08.008", "url": "https://doi.org/10.1016/j.ress.2018.08.008", "abstract": "", "grade": "A", "theme": "ch3_literature_review", "source": "Crossref"}
{"key": "veber_2008_generalized", "title": "Generalized renewal process for repairable systems based on finite Weibull mixture", "authors": ["B. Veber", "M. Nagode", "M. Fajdiga"], "year": 2008, "venue": "Reliability Engineering &amp; System Safety", "doi": "10.1016/j.ress.2007.10.003", "url": "https://doi.org/10.1016/j.ress.2007.10.003", "abstract": "", "grade": "A", "theme": "ch3_literature_review", "source": "Crossref"}
{"key": "rubin_2010_causal", "title": "Causal Inference", "authors": ["D.B. Rubin"], "year": 2010, "venue": "International Encyclopedia of Education", "doi": "10.1016/b978-0-08-044894-7.01313-0", "url": "https://doi.org/10.1016/b978-0-08-044894-7.01313-0", "abstract": "", "grade": "A", "theme": "ch6_analysis_plan", "source": "Crossref"}
{"key": "why_2014_why", "title": "Why Space is Unique? The Basic Environment Challenges for EEE Parts", "authors": [], "year": 2014, "venue": "NASA NTRS", "doi": null, "url": "https://ntrs.nasa.gov/citations/20150001281", "abstract": "", "grade": "B", "theme": "ch4_data_and_measurement", "source": "NTRS"}
{"key": "castet_2010_spacecraft", "title": "Spacecraft Technologies: Satellite Reliability", "authors": ["Jean-Francois Castet", "J. Saleh"], "year": 2010, "venue": "", "doi": "10.1002/9780470686652.eae419", "url": "https://doi.org/10.1002/9780470686652.EAE419", "abstract": "", "grade": "A", "theme": "ch3_literature_review", "source": "SemanticScholar"}
{"key": "grome_2025_scalable", "title": "Scalable small satellite platform for earth observation and scientific missions", "authors": ["J. Gromeš", "Vladimír Dániel", "Petr Svoboda", "Olivier Trémouillhe", "Michal Kubík", "Jakub Jon"], "year": 2025, "venue": "Journal of Physics: Conference Series", "doi": "10.1088/1742-6596/3078/1/012067", "url": "https://doi.org/10.1088/1742-6596/3078/1/012067", "abstract": "The work presents the design of the Czech Advanced Platform (CAP) - a satellite platform targeting the high demands of the current small satellite market. The platform is designed to be scalable for satellites with masses between 80 and 200 kg and can be adapted to various types of payloads, from Earth observation to science. It can provide up to 50 W of continuous power to payloads, has an onboard storage over a hundred GB, and offers a high-speed data downlink in the X-band. It is also equippe", "grade": "A", "theme": "ch7_discussion", "source": "SemanticScholar"}
{"key": "villa_2017_analysis", "title": "Analysis of COTS FPGA SEU-sensitivity to combined effects of conducted-EMI and TID", "authors": ["P. Villa", "E. Bezerra", "R. Goerl", "L. Poehls", "F. Vargas", "N. Medina"], "year": 2017, "venue": "International Workshop on Electromagnetic Compatibility of Integrated Circuits", "doi": "10.1109/emccompo.2017.7998076", "url": "https://doi.org/10.1109/EMCCOMPO.2017.7998076", "abstract": "", "grade": "A", "theme": "ch4_data_and_measurement", "source": "SemanticScholar"}
{"key": "manda_2005_age", "title": "Age at first marriage in Malawi: a Bayesian multilevel analysis using a discrete time‐to‐event model", "authors": ["Samuel O. M. Manda", "R. Meyer"], "year": 2005, "venue": "", "doi": "10.1111/j.1467-985x.2005.00357.x", "url": "https://doi.org/10.1111/j.1467-985X.2005.00357.x", "abstract": "", "grade": "A", "theme": "ch6_analysis_plan", "source": "SemanticScholar"}
{"key": "ditraglia_2025_bayesian", "title": "Bayesian Double Machine Learning for Causal Inference", "authors": ["Francis J. Ditraglia", "Laura Liu"], "year": 2025, "venue": "", "doi": null, "url": "https://arxiv.org/abs/2508.12688", "abstract": "This paper proposes a simple, novel, and fully-Bayesian approach for causal inference in partially linear models with high-dimensional control variables. Off-the-shelf machine learning methods can introduce biases in the causal parameter known as regularization-induced confounding. To address this, we propose a Bayesian Double Machine Learning (BDML) method, which modifies a standard Bayesian multivariate regression model and recovers the causal effect of interest from the reduced-form covarianc", "grade": "B", "theme": "ch6_analysis_plan", "source": "SemanticScholar"}
{"key": "robins_2000_sensitivity", "title": "Sensitivity Analysis for Selection bias and unmeasured Confounding in missing Data and Causal inference models", "authors": ["J. Robins", "A. Rotnitzky", "D. Scharfstein"], "year": 2000, "venue": "", "doi": "10.1007/978-1-4612-1284-3_1", "url": "https://doi.org/10.1007/978-1-4612-1284-3_1", "abstract": "", "grade": "A", "theme": "ch6_analysis_plan", "source": "SemanticScholar"}
{"key": "tai_2025_reliability", "title": "Reliability Inference in GLFP Models Based on EM Algorithm With Related Application", "authors": ["Chih-Ying Tai", "Tsai‐Hung Fan"], "year": 2025, "venue": "Applied Stochastic Models in Business and Industry", "doi": "10.1002/asmb.70030", "url": "https://doi.org/10.1002/asmb.70030", "abstract": "During the manufacturing processes for the integrated circuit (IC) products, defective units may not be screened out by the quality inspections. The defective units often lead to infant mortality failure in the early stages of operation, while non‐defective units will eventually fail due to wear‐out failure. The general limited failure population (GLFP) model can be used to describe such a phenomenon in which defective units induce failure affected by both failure mechanisms, but failure of non‐", "grade": "A", "theme": "ch3_literature_review", "source": "SemanticScholar"}
{"key": "zhao_2024_construction", "title": "Construction of Space Environmental Warning Model for ESD Anomalies in High Orbit Spacecraft", "authors": ["Yuxin Zhao", "Xiaoning Yang", "Yenan Liu", "Yuming Liu", "Yanlin Xu"], "year": 2024, "venue": "2024 10th International Symposium on System Security, Safety, and Reliability (ISSSR)", "doi": "10.1109/isssr61934.2024.00023", "url": "https://doi.org/10.1109/ISSSR61934.2024.00023", "abstract": "The electrostatic discharge (ESD) caused by space weather disturbances is one of the major causes of anomalies in high-orbit spacecraft. The warning information about spacecraft failures and the risk of anomalies caused by ESD is necessary to improve the stability and safety of spacecraft. This paper makes a correlation analysis between space environments and in-orbit ESD anomalies and puts forward a new space environmental warning model associated with high-orbit spacecraft ESD anomalies to eva", "grade": "A", "theme": "ch3_literature_review", "source": "SemanticScholar"}
{"key": "z_2026_a", "title": "A Fault Diagnosis Method for Flight Control Systems Combining Pose-Invariant Features and a Semi-Supervised RDC-GAN Model", "authors": ["Jingsen Z."], "year": 2026, "venue": "Dianzi Yu Xinxi Xuebao Journal of Electronics and Information Technology", "doi": "10.11999/jeit250964", "url": "https://doi.org/10.11999/JEIT250964", "abstract": "", "grade": "A", "theme": "ch3_literature_review", "source": "Scopus"}
{"key": "g_2024_cots", "title": "COTS Devices for Space Missions in LEO", "authors": ["Brunetti G."], "year": 2024, "venue": "IEEE Access", "doi": "10.1109/access.2024.3405373", "url": "https://doi.org/10.1109/ACCESS.2024.3405373", "abstract": "", "grade": "A", "theme": "ch4_data_and_measurement", "source": "Scopus"}
{"key": "ck_2025_revealing", "title": "Revealing the impact of operational constraints on aerodynamic collision avoidance maneuvers: In-flight results from the BEESAT-4 CubeSat", "authors": ["Constantin Traub; Mohamed Khalil Ben‐Larbi; Fabrizio Turco; Anton Johann Große Siestrup; Julian Harbeck; Enrico Stoll; Daniel Lück"], "year": 2025, "venue": "Acta Astronautica", "doi": "10.1016/j.actaastro.2025.04.038", "url": "https://doi.org/10.1016/j.actaastro.2025.04.038", "abstract": "", "grade": "A", "theme": "ch7_discussion", "source": "ACTA-brain"}
{"key": "hedderman_2025_the", "title": "The SpIRIT Payload Management System: A paradigm for smallsats multi payload integration", "authors": ["Miguel Ortiz del Castillo; Jack McRobbie; Andrew Woods; Robert Mearns; Jonathan Morgan; Michele Trenti; Simon Barraclough; Yijie Tao; Clint Therakam; Eric Schoof; Airlie Chapman; Fabrizio Fiore; Y. Evangelista; A. Guzmán; Paul Hedderman"], "year": 2025, "venue": "Acta Astronautica", "doi": "10.1016/j.actaastro.2025.06.050", "url": "https://doi.org/10.1016/j.actaastro.2025.06.050", "abstract": "", "grade": "A", "theme": "ch7_discussion", "source": "ACTA-brain"}
{"key": "andres_2024_herccules", "title": "HERCCULES: A university balloon-borne experiment for BEXUS 32 to characterize the thermal environment in the stratosphere using COTS", "authors": ["David González-Bárcena; Blanca Boado-Cuartero; Ángel-Grover Pérez-Muñoz; Alejandro Fernández-Soler; J.M. Redondo; Ángel Porras-Hermoso; Pedro Barba-Navarrete; Carlos Arroyo-Ruiz; José Miguel Álvarez; Juan Bermejo-Ballesteros; Daniel Alfonso-Corcuera; Marina Merchán-Bravo; Carlos Gómez-Navajas; Siro Muela-Márquez; Noelia Martínez-Figueira; Alba Benito; Adrián Peña-Capalvo; Pablo Dorado-Melara; Álvaro Morán-Fernández; Javier Garrido-Sola; Pablo Montes-Pineda; Manú Soto-Aranaz; Lilian Peinado; Daniel del-Río-Velilla; Andrés Pedraza; Sergio Marín-Coca; Rafael García-Romero; Isabel Pérez-Grande; Juan Zamorano; J.Y. Malo; Ignacio Torralbo; Javier Piqueras; Andrés García-Pérez; Javier Pérez-Álvarez; Elena Roibás-Millán; José Real; Santiago Pindado; Angel Pedro Sanz Andres"], "year": 2024, "venue": "Acta Astronautica", "doi": "10.1016/j.actaastro.2024.04.034", "url": "https://doi.org/10.1016/j.actaastro.2024.04.034", "abstract": "", "grade": "A", "theme": "ch4_data_and_measurement", "source": "ACTA-brain"}
{"key": "francesconi_2024_spriss", "title": "SPRISS: Scalable and precise resistive impact sensor for smallsats, architecture description and tests", "authors": ["Samuele Enzo; Giacomo Battaglia; Federico Basana; Francesca Filippini; M. G. Mozzato; Federico Marin; Luca Lion; Lorenzo Olivieri; Carlo Bettanini; Alessandro Francesconi"], "year": 2024, "venue": "Acta Astronautica", "doi": "10.1016/j.actaastro.2024.06.033", "url": "https://doi.org/10.1016/j.actaastro.2024.06.033", "abstract": "", "grade": "A", "theme": "ch7_discussion", "source": "ACTA-brain"}
{"key": "chandra_2018_leveraging", "title": "Leveraging the Emerging CubeSat Reference Model for Space Situational Awareness", "authors": ["Aman Chandra", " University of Arizona; Mostafa Lutfi", " University of Arizona; David Gross", " University of Arizona"], "year": 2018, "venue": "AMOS Conference", "doi": null, "url": "https://amostech.space/year/2018/leveraging-the-emerging-cubesat-reference-model-for-space-situational-awareness/", "abstract": "", "grade": "C", "theme": "ch7_discussion", "source": "AMOS-brain"}
{"key": "grile_2024_statistical", "title": "Statistical Reliability Estimation of Deep Space Satellites and Launch Vehicles: 1958–2022", "authors": ["Travis M. Grile", "Brooke N. Wagenblast", "Robert A. Bettinger"], "year": 2024, "venue": "Journal of Spacecraft and Rockets", "doi": "10.2514/1.a35926", "url": "https://doi.org/10.2514/1.a35926", "abstract": "", "grade": "A", "theme": "ch3_literature_review", "source": "OpenAlex"}
{"key": "hamlin_2018_large", "title": "Large Satellite Bus Reliability", "authors": ["Teri L. Hamlin", "Bruce C. Reistle", "Michael A. Stewart"], "year": 2018, "venue": "NASA STI Repository (National Aeronautics and Space Administration)", "doi": null, "url": "http://hdl.handle.net/2060/20180006794", "abstract": "", "grade": "B", "theme": "ch3_literature_review", "source": "OpenAlex"}