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Reliability of Systems Subjected to Imperfect Fault Coverage

In: Stochastic Reliability and Maintenance Modeling

Author

Listed:
  • G. Levitin

    (The Israel Electric Corporation Ltd)

  • S. H. Ng

    (National University of Singapore)

  • R. Peng

    (Dongling School of Economics and Management, University of Science and Technology Beijing)

  • M. Xie

    (National University of Singapore
    City University of Hong Kong)

Abstract

Due to imperfect fault coverage, the reliability of redundant systems cannot be enhanced unlimitedly with the increase of redundancy. Many works have been done on the reliability modeling and optimization of systems subjected to imperfect fault coverage. The methodologies adopted mainly include combinatorial approach, ordered binary decision diagram and universal generating function. Depending on the type of fault tolerant techniques used, there are mainly three kinds of fault coverage models: (1) element level coverage (ELC). (2) fault level coverage (FLC). and (3) performance-dependent coverage (PDC). This chapter reviews the literatures on the reliability of systems subjected to imperfect fault coverage and shows an extended work.

Suggested Citation

  • G. Levitin & S. H. Ng & R. Peng & M. Xie, 2013. "Reliability of Systems Subjected to Imperfect Fault Coverage," Springer Series in Reliability Engineering, in: Tadashi Dohi & Toshio Nakagawa (ed.), Stochastic Reliability and Maintenance Modeling, edition 127, pages 159-177, Springer.
    • Handle: RePEc:spr:ssrchp:978-1-4471-4971-2_8
    DOI: 10.1007/978-1-4471-4971-2_8
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    Cited by:

    1. Wang, Yujie & Xing, Liudong & Levitin, Gregory & Huang, Ning, 2018. "Probabilistic competing failure analysis in phased-mission systems," Reliability Engineering and System Safety, Elsevier, vol. 176(C), pages 37-51.
    2. Wang, Chaonan & Liu, Qiongyang & Xing, Liudong & Guan, Quanlong & Yang, Chunhui & Yu, Min, 2022. "Reliability analysis of smart home sensor systems subject to competing failures," Reliability Engineering and System Safety, Elsevier, vol. 221(C).

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