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Abstract
System failures can be induced either by internal degradation mechanisms or by external causes. In this article, we consider the reliability of systems experiencing both degradation and random shock processes. The dependencies between degradation processes and random shocks and those among the degradation processes are explicitly modeled. The degradation processes of system components are modeled using Multi-State Models (MSMs) and Physics-Based Models (PBMs). The piecewise-deterministic Markov process modeling framework is employed to combine MSMs and PBMs and to incorporate degradation and random shocks dependencies. The Monte Carlo simulation and finite-volume methods are used to compute the system reliability. A subsystem of a residual heat removal system in a nuclear power plant is considered as an illustrative case.
Original language | English |
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Pages (from-to) | 1072-1085 |
Journal | IIE Transactions (Institute of Industrial Engineers) |
Volume | 48 |
Issue number | 11 |
Online published | 7 Jun 2016 |
DOIs | |
Publication status | Published - 2016 |
Research Keywords
- degradation, random shocks
- dependency
- Monte Carlo simulation
- Multi-state system
- piecewise-deterministic Markov process
- residual heat removal system
- system reliability assessment
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Dive into the research topics of 'Reliability assessment of systems subject to dependent degradation processes and random shocks'. Together they form a unique fingerprint.Projects
- 1 Finished
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GRF: Reliability Analysis and Maintenance of Multi-state Repairable Systems
XIE, M. (Principal Investigator / Project Coordinator) & Zuo, M. (Co-Investigator)
1/10/15 → 11/12/18
Project: Research