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Reliability Assessment of Systems with Dependent Degradation Processes Based on Piecewise-Deterministic Markov Process

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Recent Advances in Multi-state Systems Reliability

Part of the book series: Springer Series in Reliability Engineering ((RELIABILITY))

Abstract

This chapter presents a reliability assessment framework for multi-component systems whose degradation processes are modeled by multi-state and physics-based models. The piecewise-deterministic Markov process modeling approach is employed to treat dependencies between the degradation processes within one component or/and among components. The proposed method can handle the dependencies between physics-based models, between multi-state models and between these two types of models. A Monte Carlo simulation algorithm is designed to compute the systems reliability. A case study on one subsystem of the residual heat removal system of a nuclear power plant is illustrated as exemplification of the proposed modeling framework.

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Correspondence to Yan-Hui Lin .

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Lin, YH., Li, YF., Zio, E. (2018). Reliability Assessment of Systems with Dependent Degradation Processes Based on Piecewise-Deterministic Markov Process. In: Lisnianski, A., Frenkel, I., Karagrigoriou, A. (eds) Recent Advances in Multi-state Systems Reliability. Springer Series in Reliability Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-63423-4_11

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  • DOI: https://doi.org/10.1007/978-3-319-63423-4_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63422-7

  • Online ISBN: 978-3-319-63423-4

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