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State-dependent age replacement policy for a system subject to cascading failures

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  • Hyunju Lee

Abstract

A cascading failure is a failure in a system of interconnected parts in which the failure of a part triggers the failure of successive parts. Although some initial and empirical studies for probabilistic modeling and analysis of the cascading failures have been performed in the literature, general modeling frameworks and relevant maintenance policies have been barely reported yet. However, in this article, based on a general framework for modeling cascading failures, we study the optimal preventive maintenance problem for the system. A new state-dependent age replacement policy is developed. The comparison with the ordinary age replacement policy is also discussed.

Suggested Citation

  • Hyunju Lee, 2020. "State-dependent age replacement policy for a system subject to cascading failures," Journal of Risk and Reliability, , vol. 234(2), pages 359-376, April.
    • Handle: RePEc:sae:risrel:v:234:y:2020:i:2:p:359-376
    DOI: 10.1177/1748006X19880144
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    References listed on IDEAS

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    Cited by:

    1. Jian Zhou & Weijian Zheng & Dali Wang & David W. Coit, 2024. "A resilient network recovery framework against cascading failures with deep graph learning," Journal of Risk and Reliability, , vol. 238(1), pages 193-203, February.
    2. Murat Ozkut, 2022. "Comparison of the replacement policy in k-out-of-n systems having dependent components," Journal of Risk and Reliability, , vol. 236(1), pages 125-137, February.

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