Satellite and satellite subsystems reliability: Statistical data analysis and modeling

Reliability Engineering and System Safety


Single versus mixture Weibull distributions for nonparametric satellite reliability


Beyond reliability, multi-state failure analysis of satellite subsystems: A statistical approach


A study of on-orbit spacecraft failures


Health scorecard of spacecraft platforms: Track record of on-orbit anomalies and failures


Statistical reliability analysis of satellites by mass category: Does spacecraft size matter?


Technology Readiness Level, Schedule Risk, and Slippage in Spacecraft Design


Reliability analysis of deep space satellites launched 1991-2020: Bulk population and subsystem analysis

Quality and Reliability Engineering International


Statistical Modeling and Analysis of Satellite Failure Based on 2-Weibull Segmented Model


Reliability of CubeSats - Statistical Data, Developers' Beliefs and the Way Forward


Risk Assessment for the Use of COTS Devices in Space Systems under Consideration of Radiation Effects


Radiation Effects and COTS Parts in SmallSats


Mostly Harmless Econometrics: An Empiricist's Companion


Identification of Causal Effects Using Instrumental Variables

Journal of the American Statistical Association


The central role of the propensity score in observational studies for causal effects


For objective causal inference, design trumps analysis


Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction


Bayesian Inference for Causal Effects: The Role of Randomization


Radiation Hardness Assurance for a NewSpace DC-DC Converter

B. Witcher
L. Leslie
J. Ferrell
J. Yeager
C. Rutledge

European Conference on Radiation and Its Effects on Components and Systems

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


Single Event Effects and Total Ionizing Dose Radiation Testing of NVIDIA Jetson Orin AGX System on Module

Windy S. Slater
B. Rutherford
J. Mee
R. Pinson
Matthew Gruber
Daniel Sabogal

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


From COTS to space grade electronics-improving reliability for Harsh environments

2014 IEEE International Integrated Reliability Workshop Final Report (IIRW)

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


Use and benefits of COTS board level testing for radiation hardness assurance

M. Rousselet
P. C. Adell
D. J. Sheldon
J. Boch
H. Schone
F. Saigne

2016 16th European Conference on Radiation and Its Effects on Components and Systems (RADECS)


COTS and the NewSpace

Radiation Effects on Integrated Circuits and Systems for Space Applications


Nanosatellites in LEO and beyond: Advanced Radiation protection techniques for COTS-based spacecraft

David Selčan; Gregor Kirbiš; Iztok Kramberger


Toward the Use of Electronic Commercial Off-the-Shelf Devices in Space: Assessment of the True Radiation Environment in Low Earth Orbit (LEO)

O. Gutiérrez
Manuel Prieto
Álvaro Perales-Eceiza
Alí Ravanbakhsh
Mario Basile
David Guzmán


Total‐dose radiation hardness assurance for space electronics


Repeatability and intraclass correlations from time-to-event data: towards a standardized approach

Kelsey B. McCune
Coralie Williams
N. Dochtermann
H. Schielzeth
S. Nakagawa

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


Causal Inference Methods for Selection on Observed and Unobserved Factors: Propensity Score Matching, Heckit Models, and Instrumental Variable Estimation.


Economic Integration Agreements and Export Survival in Ghana

K. Nkansah
P. O. Takyi
D. Sakyi
Frank Adusah-Poku

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


Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap

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


Potential Outcomes Causal Model


Causal Inference Through Potential Outcomes and Principal Stratification: Application to Studies with “Censoring” Due to Death


Potential Outcomes and the Fundamental Problem of Causal Inference


Potential Outcomes


Bridging Weibull Failure Models and CTMC Verification: Automated Phase-Type Encoding for Satellite Reliability Analysis in PRISM

K. Wong
Yu Lu
W. Ip
Wenjun Zhang
Zhili Sun

IEEE Transactions on Aerospace and Electronic Systems

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


A reliability estimation tool for reducing infant mortality in Cubesat missions

M. Langer
M. Weisgerber
J. Bouwmeester
A. Hoehn


Failure assessment logic model (FALM): A new approach for reliability analysis of satellite attitude control subsystem

Mahrad Damircheli
Mahdi Fakoor
Hamed Yadegari


Statistical Reliability Estimation for Satellites Operating from 1991-2020 with Payload Reliability Focus

International Conference on System Reliability and Safety

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


Spacecraft electrical power subsystem: Failure behavior, reliability, and multi-state failure analyses

So Young Kim
Jean‐François Castet
Joseph H. Saleh


Spacecraft attitude control subsystem: Reliability, multi-state analyses, and comparative failure behavior in LEO and GEO

Jessica K. Wayer
Jean‐François Castet
Joseph H. Saleh


Lessons Learned from IDEASSat: Design, Testing, on Orbit Operations, and Anomaly Analysis of a First University CubeSat Intended for Ionospheric Science

Y. Chiu
L. Chang
C. Chao
Tzu-Ya Tai
Kai Cheng
Hsin-Tzu Liu

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


Statistical analysis and modelling of small satellite reliability


Thermal Vacuum Test Campaign of the EIRSAT-1 Engineering Qualification Model

Rachel Dunwoody
Jack Reilly
David Murphy
Maeve Doyle
Joseph Thompson
Gabriel Finneran


The 3Cat-4 Spacecraft Thermal Analysis and Thermal Vacuum Test Campaign Results

Jeimmy Nataly Buitrago-Leiva
Inés Terraza Palanca
Luis Contreras-Benito
Lara Fernandez
G. Gracia-Sola
Cristina del Castillo Sancho


Space flight requirements for fiber optic components: qualification testing and lessons learned

Melanie N. Ott
Xiaodan Linda Jin
Richard F. Chuska
Patricia R. Friedberg
Mary C. Malenab
Adam Matuszeski

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE


Functional and Qualification Testing of the InflateSail Technology Demonstrator

Andrew Viquerat
Mark Schenk
Vaios Lappas
Berry Sanders


Building Blocks for the Future: TRL 10 and 11 Commercial Spacecraft Avionics

L. Kirschenbaum
J. Andrada
Laurie Chappell
P. Lord
Yann Renault

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


Technology Readiness Levels at 40: A Study of State-of-the-Art Use, Challenges, and Opportunities

Alison Olechowski
Steven D. Eppinger
Nitin Joglekar


The Proof in Heritage - Long-Term Performance Analysis of the ASTRO APS Star Tracker & Lessons Learned from On-Orbit Data

Proceedings of the International Astronautical Congress Iac


Technology Readiness Level, Schedule Risk and Slippage in Spacecraft Design: Data Analysis and Modeling

Gregory F. Dubos
Joseph H. Saleh
Robert D. Braun


A Study of Influence of Technology Readiness Level on Spacecraft Development Schedule


Final Report of the NASA Technology Readiness Assessment (TRA) Study Team

NASA STI Repository (National Aeronautics and Space Administration)


Space micropropulsion systems for Cubesats and small satellites: From proximate targets to furthermost frontiers

Igor Levchenko
Kateryna Bazaka
Yongjie Ding
Yevgeny Raitses
Stéphane Mazouffre
Torsten Henning


On-orbit No-contact Anomaly Debug Procedure for the CuPID Cubesat

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


DTN and Non-DTN Routing Protocols for Inter-CubeSat Communications: A comprehensive survey

Mohamed Atef Ali Madni
Saeid Iranmanesh
Raad Raad


AI-Augmented SysML Framework for Early Failure Mitigation in Small Satellite Communications: Link-Budget Verification and Trade Study Integration

Iqtiar Md Siddique
A. Siddique
Ivan A Renteria
Eric D Smith

International Journal of Artificial Intelligence in Mechanical Engineering

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


On-Orbit Thermal Design and Validation of 1 U Standardized CubeSat of STEP Cube Lab

International Journal of Aerospace Engineering


CubeSat Mission: From Design to Operation


Improving Mission Success of CubeSats

C. C. Venturini
Barbara Braun
David Hinkley
Greg Berg

Digital Commons - USU (Utah State University)


A Robust Framework for Low-Cost Cubesat Scientific Missions

Joon Wayn Cheong
Benjamin J. Southwell
William P. Andrew
Elias Aboutanios
Chung Lam
Tom Croston


Evaluation of Algorithm-Based Fault Tolerance for Machine Learning and Computer Vision under Neutron Radiation

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,


Satellite reliability modeling with modified Weibull extension distribution

Weiwen Peng
Hua Zhang
Hong-Zhong Huang
Zhean Gong
Yu Liu

2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering


Statistical Analysis and Modeling of Small Satellite Reliability

Kaiqi Xu
Mario P. Brito
Charlie Yound
M.K.S. Al-Mhdawi
Nicholas Dacre
David Baxter


Statistical Analysis of Small Satellite Reliability: 1990-2019

Raja Pandi Perumal
Holger Voos
Florio Dalla Vedova
Hubert Moser


Causal Inference Using Potential Outcomes


Causal Inference in Conjoint Analysis: Logit Models vs. Potential Outcomes


Optimal designs for discrete-time survival models with random effects


Causal inference under selection on observables in operations management research: Matching methods and synthetic controls

Övünç Yılmaz
Yoonseock Son
Guangzhi Shang
H. A. Arslan

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


Reliability Prediction Using Additive Weibull Model

Dasharath Baliram Koulage
Kanchan Mondal
Dattatray Shriniwas Manerikar

Abstract:
This paper presents additive Weibull reliability model using customer complaints
 data and finite element fatigue (FEA) analysis data. Warranty data provides
 insight into the underlying customer issues. Reliability engineers prepare a
 prediction model based on this data to forecast the failure rate of components.
 However, warranty data has certain limitations with respect to prediction
 modeling. The warranty period covers only the infant mortality and useful life
 zone of a bathtub curve. Th


An Alternative to the Exponential and Weibull Reliability Models

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


Combining Modified Weibull Distribution Models for Power System Reliability Forecast

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


Modular and Highly Reliable COTS-Based Power Conditioning and Distribution Unit for Small Satellites


Small data reliability analysis in concrete three-point bending tests: A Weibull mixture model approach based on Weibull fracture theory


Weibull Mixture Model for Reliability Analysis

International Review of Electrical Engineering (IREE)


Radiation Hardness Assurance (RHA) Guideline


Relative Bias Under Imperfect Identification in Observational Causal Inference

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


Improving wind turbine reliability through the analysis of critical component failures, parametric modelling, and maintenance optimization

Youssef Sadraoui
Mohamed Er-ratby
Moulay Saddik Kadiri
A. Kobi

Wind Engineering : The International Journal of Wind Power

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


Systematic review of engineering and testing approaches for radiation hardness assurance in commercial space avionics

Jasper Dijks; Sybren de Jong; Alessandra Menicucci; Iklim Akay


Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies


Propensity Score Matching Methods for Non-Experimental Causal Studies


NASA Electronic Parts and Packaging (NEPP) Program - Innovative EEE Parts Resource for the Future


When Should We Use Unit Fixed Effects Regression Models for Causal Inference with Longitudinal Data?

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


The benefits of hybrid electronic architecture mixing cots and rad-tolerant components as used in ELOIS payload computer and CSIMBA hyperspectral camera projects

Proceedings of SPIE the International Society for Optical Engineering


Irradiation Testing of Electronic Space Components in the Framework of ASIF Infrastructure

2025 IEEE International Workshop on Metrology for Aerospace Metroaerospace 2025 Proceedings


On-board, Autonomous, Hybrid Spacecraft Subsystem Fault and Anomaly Detection, Diagnosis, and Recovery

Richard Stottler
Stottler Henke Associates
Inc.; Sowmya Ramachandran
Stottler Henke Associates
Inc.; Christian Belardi
Stottler Henke Associates
Inc.; Rocky Mandayam
Stottler Henke Associates
Inc.


Autonomous, Hybrid Space System Fault and Anomaly Detection, Diagnosis, Root Cause Determination, and Recovery

Richard Stottler
Stottler Henke Associates
Inc.; Sowmya Ramachandran
Stottler Henke Associates
Inc.; Chris Healy
Stottler Henke Associates
Inc.; Abhimanyu Singhal
Stottler Henke Associates
Inc.


Satellite Reliability: Statistical Data Analysis and Modeling


Integration and Verification Approach of ISTSat-1 CubeSat

João P. Monteiro
Rui M. Rocha
Alexandre Ferreira da Silva
Rúben Afonso
Nuno V. Ramos


Planet High Speed Radio: Crossing Gbps from a 3U CubeSat

Kiruthika Devaraj
Matt Ligon
Eric Blossom
Joseph Breu
Bryan Klofas
Kyle Colton

Utah State Research and Scholarship (Utah State University)


Small satellites for space science

R. M. Millan
R. von Steiger
Meir Ariel
С.А. Барталев
M. Borgeaud
Stefano Campagnola


Causal inference in statistics: An overview


Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration

Jan P. Vandenbroucke
Erik von Elm
Douglas G. Altman
Peter C Gøtzsche
Cynthia D. Mulrow
Stuart Pocock


Confounding and Collapsibility in Causal Inference

Sander Greenland
Judea Pearl
James M. Robins


An Introduction to Causal Inference

The International Journal of Biostatistics


Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance in Observational Studies


Causal inference and the data-fusion problem

Proceedings of the National Academy of Sciences


A Tutorial on Multilevel Survival Analysis: Methods, Models and Applications


Survival Analysis: State of the Art.

Suzanne J. Powell
J. P. Klein
Pranay Goel

Journal of the Royal Statistical Society Series D (The Statistician)


Estimating Causal Effects from Large Data Sets Using Propensity Scores


Matching Methods for Causal Inference: A Review and a Look Forward


Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity‐score matched samples


Causal Inference without Balance Checking: Coarsened Exact Matching

Stefano M. Iacus
Gary King
Giuseppe Porro


Variable Selection for Propensity Score Models

M. Alan Brookhart
Sebastian Schneeweiß
Kenneth J. Rothman
Robert J. Glynn
Jerry Avorn
Til Stürmer


A tutorial on propensity score estimation for multiple treatments using generalized boosted models

Daniel F. McCaffrey
Beth Ann Griffin
Daniel Almirall
Mary E. Slaughter
Rajeev Ramchand
Lane F. Burgette


The design <i>versus</i> the analysis of observational studies for causal effects: parallels with the design of randomized trials


Geosynchronous communication satellite reliability: statistical data analysis and modeling


Spacecraft Subsystem Reliability

Spacecraft Reliability and Multi‐State Failures


Weibull and inverse Weibull mixture models allowing negative weights


Reliability approximation using finite Weibull mixture distributions


Bayesian estimation of Weibull mixture in heavily censored data setting


Generalized renewal process for repairable systems based on finite Weibull mixture


Causal Inference


Why Space is Unique? The Basic Environment Challenges for EEE Parts


Spacecraft Technologies: Satellite Reliability


Scalable small satellite platform for earth observation and scientific missions

J. Gromeš
Vladimír Dániel
Petr Svoboda
Olivier Trémouillhe
Michal Kubík
Jakub Jon

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


Analysis of COTS FPGA SEU-sensitivity to combined effects of conducted-EMI and TID

P. Villa
E. Bezerra
R. Goerl
L. Poehls
F. Vargas
N. Medina

International Workshop on Electromagnetic Compatibility of Integrated Circuits


Age at first marriage in Malawi: a Bayesian multilevel analysis using a discrete time‐to‐event model


Bayesian Double Machine Learning for Causal Inference

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


Sensitivity Analysis for Selection bias and unmeasured Confounding in missing Data and Causal inference models


Reliability Inference in GLFP Models Based on EM Algorithm With Related Application

Applied Stochastic Models in Business and Industry

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‐


Construction of Space Environmental Warning Model for ESD Anomalies in High Orbit Spacecraft

Yuxin Zhao
Xiaoning Yang
Yenan Liu
Yuming Liu
Yanlin Xu

2024 10th International Symposium on System Security, Safety, and Reliability (ISSSR)

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


A Fault Diagnosis Method for Flight Control Systems Combining Pose-Invariant Features and a Semi-Supervised RDC-GAN Model

Dianzi Yu Xinxi Xuebao Journal of Electronics and Information Technology


COTS Devices for Space Missions in LEO


Revealing the impact of operational constraints on aerodynamic collision avoidance maneuvers: In-flight results from the BEESAT-4 CubeSat

Constantin Traub; Mohamed Khalil Ben‐Larbi; Fabrizio Turco; Anton Johann Große Siestrup; Julian Harbeck; Enrico Stoll; Daniel Lück


The SpIRIT Payload Management System: A paradigm for smallsats multi payload integration

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


HERCCULES: A university balloon-borne experiment for BEXUS 32 to characterize the thermal environment in the stratosphere using COTS

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


SPRISS: Scalable and precise resistive impact sensor for smallsats, architecture description and tests

Samuele Enzo; Giacomo Battaglia; Federico Basana; Francesca Filippini; M. G. Mozzato; Federico Marin; Luca Lion; Lorenzo Olivieri; Carlo Bettanini; Alessandro Francesconi


Leveraging the Emerging CubeSat Reference Model for Space Situational Awareness

Aman Chandra
University of Arizona; Mostafa Lutfi
University of Arizona; David Gross
University of Arizona


Statistical Reliability Estimation of Deep Space Satellites and Launch Vehicles: 1958–2022

Travis M. Grile
Brooke N. Wagenblast
Robert A. Bettinger


Large Satellite Bus Reliability

Teri L. Hamlin
Bruce C. Reistle
Michael A. Stewart

NASA STI Repository (National Aeronautics and Space Administration)