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.

Reliability assessment of systems with dependent degradation processes based on Piecewise-Deterministic Markov process

Zio, Enrico
2018

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.
Recent Advances in Multi-state Systems Reliability
978-3-319-63422-7
978-3-319-63423-4
Dependent degradation processes; Monte Carlo simulation method; Multi-state model; Physics-based model; Piecewise-deterministic markov process; Safety, Risk, Reliability and Quality
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1078015
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