Reliability analysis for continuous degrading systems subject to multi-level failure dependence

This article explicitly models multi-level failure dependence existing in continuous degrading systems with multiple degrading components. Dependence within the component level is specified as that arrived shocks increase the vulnerability to inherent degradation. Dependence among components refers...

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Bibliographic Details
Published inQuality engineering Vol. 37; no. 1; pp. 79 - 91
Main Authors Cao, Yingsai, Lu, Chen
Format Journal Article
LanguageEnglish
Published Milwaukee Taylor & Francis 02.01.2025
Taylor & Francis Ltd
Subjects
Component reliability
Continuous degradation
Degradation
Effectiveness
Exact solutions
Failure
Hydraulic equipment
multi-component systems
multi-level failure dependence
Normal distribution
random shock
Reliability
Reliability analysis
Simulation
Statistical analysis
System reliability
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Summary:This article explicitly models multi-level failure dependence existing in continuous degrading systems with multiple degrading components. Dependence within the component level is specified as that arrived shocks increase the vulnerability to inherent degradation. Dependence among components refers to the fact that the degradation of a particular component can be accelerated by others. The Gamma process is employed as a comprehensive framework for modeling the dependence above. A compound Poisson process and normal distribution are both introduced to describe the stochastic characteristics of random shocks. Procedures for obtaining analytical solutions and simulation results of reliability analysis are both presented. At last, an illustrative example of a hydraulic system is studied to demonstrate the effectiveness and advantages of the proposed method.
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ISSN:0898-2112
1532-4222
DOI:10.1080/08982112.2024.2344083