Reliability modelling and self-healing policy design for systems with limited resources

Jingyuan Shen, Shangshang Cong, Nan Zhang and Yizhong Ma

Reliability Engineering and System Safety, 2023, vol. 240, issue C

Abstract: For artificial systems, the rising cost and inaccessible scenes for maintenance have increased the need of self-healing, which intends to give systems the ability to heal the damage and faults without external intervention like living organisms. Although self-healing techniques have been widely studied and applied in many engineering systems, reliability research for such systems is limited. Besides, the self-healing ability of artificial systems is generally derived from self-healing resources embedded in the system, while the limitations of embedded resources have less been considered in related research. To fill the research gap, in this paper we consider systems operating under shock environments with limited self-healing resources. Two self-healing policies are designed for allocating the limited resources and enhancing the system reliability. Under different policies, new reliability models are developed and a recursive method is proposed to evaluate the system reliability. Further, some new indexes are introduced and derived for evaluating the performance of the self-healing policies. Based on the new indexes, numerical examples are presented in the end to compare the two policies.

Keywords: Shock model; Self-healing resource; Reliability; Performance evaluation; Policy optimization (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:240:y:2023:i:c:s0951832023004519

DOI: 10.1016/j.ress.2023.109537

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