On reliability of parallel and series systems of two three-state components with dependent functioning-state lifetimes

In the Markov model of degraded multi-state systems, instantaneous degradation rates are constant and their functioning state lifetimes are semi-independent. This note attempts to study systems of two independent three-state components with arbitrary degradation rates and any statistical dependence between functioning state lifetimes. In particular, we derive nonparametric reliability functions for functioning state lifetimes of both parallel and series systems of the two components. Moreover, we investigate how the statistical dependence impacts the system lifetime through conducting nonparametric stochastic comparison on system functioning state lifetimes. Some numerical examples are presented to illustrate the results as well.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability
Published
2025-04-16
DOI
https://doi.org/10.1177/1748006x251324967
Primary Topic
Reliability and Maintenance Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

On reliability of parallel and series systems of two three-state components with dependent functioning-state lifetimes

Xiaohu Li, Chen Li
1 links
Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability
Reliability and Maintenance Optimization
article

On reliability of parallel and series systems of two three-state components with dependent functioning-state lifetimes

Xiaohu Li, Chen Li
article en

Abstract

In the Markov model of degraded multi-state systems, instantaneous degradation rates are constant and their functioning state lifetimes are semi-independent. This note attempts to study systems of two independent three-state components with arbitrary degradation rates and any statistical dependence between functioning state lifetimes. In particular, we derive nonparametric reliability functions for functioning state lifetimes of both parallel and series systems of the two components. Moreover, we investigate how the statistical dependence impacts the system lifetime through conducting nonparametric stochastic comparison on system functioning state lifetimes. Some numerical examples are presented to illustrate the results as well.

Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and ReliabilityVol. 239(6)
Stevens Institute of Technology (US), Tianjin University of Commerce (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 83%
Reliability and Maintenance Optimization
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On reliability of parallel and series systems of two three-state components with dependent functioning-state lifetimes — Xiaohu Li, Chen Li · Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability (2025) | TGRS Research Map | TGRS