A unified palm measure framework for failure-event-based component importance measures in nonrepairable, repairable, and phase-mission systems

This paper proposes a Palm-based framework for component importance measures conditioned on system failure events, uniformly applicable to nonrepairable, repairable, and phase-mission systems. The formulation does not require renewal, stationary, or Markovian assumptions. We classify measures into transition- and state-based importance. The former captures component failure transitions, recovering Birnbaum and Barlow–Proschan importance, while the latter provides an event-based interpretation of Fussell–Vesely importance. This framework yields well-defined finite-time and phase-conditioned measures for nonstationary systems, establishing a rigorous probabilistic foundation for failure-event-based analysis.

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Publication Details

Journal
Probability in the Engineering and Informational Sciences
Published
2026-05-28
DOI
https://doi.org/10.1017/s0269964826100321
Primary Topic
Reliability and Maintenance Optimization
Type
article
Field-Weighted Citation Impact
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article

A unified palm measure framework for failure-event-based component importance measures in nonrepairable, repairable, and phase-mission systems

Junjun Zheng, Hiroyuki Okamura, Tadashi Dohi
Probability in the Engineering and Informational Sciences
Reliability and Maintenance Optimization
article

A unified palm measure framework for failure-event-based component importance measures in nonrepairable, repairable, and phase-mission systems

Junjun Zheng, Hiroyuki Okamura, Tadashi Dohi
article en

Abstract

This paper proposes a Palm-based framework for component importance measures conditioned on system failure events, uniformly applicable to nonrepairable, repairable, and phase-mission systems. The formulation does not require renewal, stationary, or Markovian assumptions. We classify measures into transition- and state-based importance. The former captures component failure transitions, recovering Birnbaum and Barlow–Proschan importance, while the latter provides an event-based interpretation of Fussell–Vesely importance. This framework yields well-defined finite-time and phase-conditioned measures for nonstationary systems, establishing a rigorous probabilistic foundation for failure-event-based analysis.

Probability in the Engineering and Informational Sciences
Hiroshima University (JP)
Openalex Percentile: Top 5%
Reliability and Maintenance Optimization
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