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On the concept of survivability, with application to spacecraft and space-based networks

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  • Castet, Jean-Francois
  • Saleh, Joseph H.

Abstract

Survivability is an important attribute and requirement for military systems. Recently, survivability has become increasingly important for public infrastructure systems as well. In this work, we bring considerations of survivability to bear on space systems. We develop a conceptual framework and quantitative analyses based on stochastic Petri nets (SPN) to characterize and compare the survivability of different space architectures. The architectures here considered are a monolith spacecraft and a space-based network. To build the stochastic Petri net models for the degradations and failures of these two architectures, we conducted statistical analyses of historical multi-state failure data of spacecraft subsystems, and we assembled these subsystems, and their SPN models, in ways to create our monolith and networked systems. Preliminary results indicate, and quantify the extent to which, a space-based network is more survivable than the monolith spacecraft with respect to on-orbit anomalies and failures.

Suggested Citation

  • Castet, Jean-Francois & Saleh, Joseph H., 2012. "On the concept of survivability, with application to spacecraft and space-based networks," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 123-138.
    • Handle: RePEc:eee:reensy:v:99:y:2012:i:c:p:123-138
    DOI: 10.1016/j.ress.2011.11.011
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    References listed on IDEAS

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    1. Castet, Jean-Francois & Saleh, Joseph H., 2010. "Beyond reliability, multi-state failure analysis of satellite subsystems: A statistical approach," Reliability Engineering and System Safety, Elsevier, vol. 95(4), pages 311-322.
    2. Castet, Jean-Francois & Saleh, Joseph H., 2009. "Satellite and satellite subsystems reliability: Statistical data analysis and modeling," Reliability Engineering and System Safety, Elsevier, vol. 94(11), pages 1718-1728.
    3. Marais, Karen B. & Saleh, Joseph H., 2009. "Beyond its cost, the value of maintenance: An analytical framework for capturing its net present value," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 644-657.
    4. Whitson, John C. & Ramirez-Marquez, Jose Emmanuel, 2009. "Resiliency as a component importance measure in network reliability," Reliability Engineering and System Safety, Elsevier, vol. 94(10), pages 1685-1693.
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    Cited by:

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    4. Geng, Sunyue & Liu, Sifeng & Fang, Zhigeng, 2021. "Resilient communication model for satellite networks using clustering technique," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    5. Jean-Francois Castet & Joseph H Saleh, 2013. "Interdependent Multi-Layer Networks: Modeling and Survivability Analysis with Applications to Space-Based Networks," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-13, April.
    6. Cheng, Ruijun & Zhou, Jin & Chen, Dewang & Song, Yongduan, 2016. "Model-based verification method for solving the parameter uncertainty in the train control system," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 169-182.
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    9. Payuna Uday & Karen Marais, 2015. "Designing Resilient Systems‐of‐Systems: A Survey of Metrics, Methods, and Challenges," Systems Engineering, John Wiley & Sons, vol. 18(5), pages 491-510, October.

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