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Bayesian Networks in Reliability Modeling and Assessment of Multi-state Systems

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Stochastic Models in Reliability, Network Security and System Safety (JHC80 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1102))

Abstract

Multi-state is a characteristic of advanced engineering systems and products. The reliability of multi-state systems (MSSs) has been received considerable attentions since the middle of 1970s. Over the last decade, Bayesian networks (BNs), as an effective and efficient reasoning tool under uncertainty, have been intensively concerned in MSS reliability modeling and assessment. This chapter presented a holistic framework for MSS reliability modeling and assessment by BNs. Firstly, the basic characteristics of MSSs and BNs are reviewed. Secondly, the detailed procedures of constructing the BN models of diverse MSSs are provided. The corresponding dynamic Bayesian network (DBN) models are also constructed to characterize the degradation profiles of MSSs over time, as well as various dependencies among components. Thirdly, a reliability assessment method by fusing multi-level observation data is developed. The results show that the reliability modeling and assessment for MSSs by BNs are effective considerably.

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Acknowledgements

The authors greatly acknowledge grant support from the National Natural Science Foundation of China under contract numbers 71771039 and 71922006.

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Authors and Affiliations

  1. School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, People’s Republic of China

    Tao Jiang, Yi-Xuan Zheng & Yu Liu

  2. Center for System Reliability and Safety, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, People’s Republic of China

    Yu Liu

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  1. Tao Jiang
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Correspondence to Yu Liu .

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Editors and Affiliations

  1. School of Economics and Management, Beijing University of Technology, Beijing, China

    Quan-Lin Li

  2. School of Management Science and Engineering, Central University of Finance and Economics, Beijing, China

    Jinting Wang

  3. School of Economics and Management, Beijing University of Technology, Beijing, China

    Hai-Bo Yu

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Jiang, T., Zheng, YX., Liu, Y. (2019). Bayesian Networks in Reliability Modeling and Assessment of Multi-state Systems. In: Li, QL., Wang, J., Yu, HB. (eds) Stochastic Models in Reliability, Network Security and System Safety. JHC80 2019. Communications in Computer and Information Science, vol 1102. Springer, Singapore. https://doi.org/10.1007/978-981-15-0864-6_9

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  • DOI: https://doi.org/10.1007/978-981-15-0864-6_9

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