The aerospace community has long recognized and repeatedlyemphasizes the importance of reliability for space systems. Despitethis, little has been published in book form on the topic.Spacecraft Reliability and Multi-state Failures addressesthis gap in the literature, offering a unique focus on spacecraftreliability based on extensive statistical analysis of system andsubsystem anomalies and failures.
The authors provide new results pertaining to spacecraftreliability based on extensive statistical analysis of on-orbitanomaly and failure data that will be particularly useful tospacecraft manufacturers and designers, for example in guidingsatellite (and subsystem) test and screening programs and providingan empirical basis for subsystem redundancy and reliability growthplans. The authors develop nonparametric results and parametricmodels of spacecraft and spacecraft subsystem reliability andmulti-state failures, quantify the relative contribution of eachsubsystem to the failure of the satellites thus identifying thesubsystems that drive spacecraft unreliability, and proposeadvanced stochastic modeling and analysis tools for the reliabilityand survivability of spacecraft and space-based networks.
Spacecraft Reliability and Multi-state Failures
- provides new nonparametric results pertaining to spacecraftreliability based on extensive statistical analysis of on-orbitanomaly and failure data;
- develops parametric models of spacecraft and spacecraftsubsystem reliability and multi-state failures
- quantifies the relative contribution of each subsystem to thefailure of the satellites
- proposes advanced stochastic modeling and analysis tools forthe reliability and survivability of spacecraft and space-basednetworks.
- provides a dedicated treatment of the reliability and subsystemanomalies of communication spacecraft in geostationary orbit.
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About the Author
Joseph Homer Saleh, Georgia Institute of TechnologyJoe Saleh joined Georgia Institute of Technology as Assistant Professor of Aerospace Engineering in 2007, having previous served as the Executive Director of the Ford-MIT Alliance. He is an Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA), and in 2008 won the Most Valuable Professor (MVP) award, School of Aerospace Engineering, Georgia Institute of Technology. He has authored two books, Analyses for Durability and System Design Lifetime: A Multidisciplinary Approach (2008) and Reliability and Risk Analysis: A Friendly Introduction (forthcoming), as well as circa 40 journal papers and 50 conference papers.
Jean-Francois Castet is a student at Georgia Institute of Technology. He is working on developing a framework for characterizing and analysing survivability and resiliency of spacecraft and space-based networks. Some parts of his research also focus on updating satellite reliability models.
Table of Contents
1 On time, reliability, and spacecraft.
1.1 On time and reliability.
1.2 On spacecraft and reliability: early studies.
1.3 Book organization.
2 Nonparametric reliability analysis of spacecraft failuredata.
2.2 Database and data description.
2.3 Nonparametric analysis of spacecraft failure data.
2.4 Confidence interval analysis.
2.5 Discussion and limitation.
3 Parametric analysis and Weibull modeling of spacecraftreliability.
3.1 Weibull distribution: an overview.
3.2 Probability plots or graphical estimation.
3.3 Maximum likelihood estimation (MLE).
3.4 Comparative analysis of the spacecraft reliabilityparametric fits.
3.5 Finite mixture distributions.
3.6 Comparative analysis of the single versus the mixturedistribution Weibull fits.
4 Data specialization: statistical analysis of spacecraftreliability by orbit and mass categories.
4.2 Data description and mass categorization.
4.3 Nonparametric analysis of satellite reliability by masscategory.
4.4 Parametric analysis of satellite reliability by masscategory.
4.5 Orbit characterization.
4.6 Nonparametric analysis of spacecraft reliability by mass andorbit category.
4.7 Parametric analysis of satellite reliability by mass andorbit category.
4.8 Hypotheses for causal explanations.
4.A Appendix: Tabular data and confidence interval analysis.
5 Spacecraft subsystem reliability.
5.1 Spacecraft subsystem identification.
5.2 Nonparametric reliability analysis of spacecraftsubsystems.
5.3 Weibull modeling of spacecraft subsystem reliability.
5.4 Comparative analysis of subsystem failures.
6 Time to anomaly and failure of spacecraft subsystems:exploratory data analysis.
6.2 Anomaly and failure events.
6.3 Distribution of anomalies and failure events bysubsystem.
6.4 Time to anomaly and failure of spacecraft subsystems.
7 Multi-state failure analysis of spacecraftsubsystems.
7.2 Setting the stage: multi-state failure analysis and thestate transition diagram.
7.3 Nonparametric analyses of spacecraft subsystems' multi-statefailures.
7.4 Parametric analyses of spacecraft subsystems' multi-statefailures.
7.5 Comparative reliability and multi-state failure analysis ofspacecraft subsystems.
8 Toward survivability analysis of spacecraft and space-basednetworks.
8.2 Overview of survivability and resiliency.
8.3 Survivability framework.
8.4 Introduction to SPNs.
8.5 SPNs for spacecraft modeling and survivability analysis.
8.A Appendix: SPN model of the SBN in Figure 8.6 and itsschematic explanation.
Appendix A Geosynchronous communication. satellites: systemreliability and subsystem anomalies and failures.
A.1 Part I: System reliability analysis.
A.2 Part II: Subsystem anomalies and failures.
Appendix B Electrical power subsystem: comparative analysisof failure events in LEO and GEO.
B.2 Database, sample analyzed, and classes of failureevents.
B.3 Brief literature review.
B.4 Reliability and multi-state failure analyses of the EPS.
B.5 Comparative analysis of the EPS failure in LEO and GEO.