Dynamic reliability models for multiple dependent competing degradation processes

Y. H. Lin; Y. F. Li; E. Zio

doi:10.1201/b17399-111

Dynamic reliability models for multiple dependent competing degradation processes

Y. H. Lin
, Y. F. Li
, E. Zio

Électricité de France S.A.
Polytechnic University of Milan

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Scopus citations

Abstract

This paper presents a holistic treatment to multiple dependent competing degradation processes, by employing the Piecewise-Deterministic Markov Process (PDMP) modeling framework. 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 developed to compute the components/systems reliability. A case study on one subsystem of the Residual Heat Removal System (RHRS) of a nuclear power plant is illustrated.

Original language	English
Title of host publication	Safety and Reliability
Subtitle of host publication	Methodology and Applications
Publisher	CRC Press
Pages	775-782
Number of pages	8
ISBN (Electronic)	9781315736976
ISBN (Print)	9781138026810
DOIs	https://doi.org/10.1201/b17399-111
State	Published - 1 Jan 2014
Externally published	Yes

Access to Document

10.1201/b17399-111

Cite this

@inbook{5518809c82c34785a10b7369d9272e6d,

title = "Dynamic reliability models for multiple dependent competing degradation processes",

abstract = "This paper presents a holistic treatment to multiple dependent competing degradation processes, by employing the Piecewise-Deterministic Markov Process (PDMP) modeling framework. 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 developed to compute the components/systems reliability. A case study on one subsystem of the Residual Heat Removal System (RHRS) of a nuclear power plant is illustrated.",

author = "Lin, \{Y. H.\} and Li, \{Y. F.\} and E. Zio",

note = "Publisher Copyright: {\textcopyright} 2015 Taylor \& Francis Group, London, UK.",

year = "2014",

month = jan,

day = "1",

doi = "10.1201/b17399-111",

language = "英语",

isbn = "9781138026810",

pages = "775--782",

booktitle = "Safety and Reliability",

publisher = "CRC Press",

address = "荷兰",

}

TY - CHAP

T1 - Dynamic reliability models for multiple dependent competing degradation processes

AU - Lin, Y. H.

AU - Li, Y. F.

AU - Zio, E.

PY - 2014/1/1

Y1 - 2014/1/1

N2 - This paper presents a holistic treatment to multiple dependent competing degradation processes, by employing the Piecewise-Deterministic Markov Process (PDMP) modeling framework. 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 developed to compute the components/systems reliability. A case study on one subsystem of the Residual Heat Removal System (RHRS) of a nuclear power plant is illustrated.

AB - This paper presents a holistic treatment to multiple dependent competing degradation processes, by employing the Piecewise-Deterministic Markov Process (PDMP) modeling framework. 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 developed to compute the components/systems reliability. A case study on one subsystem of the Residual Heat Removal System (RHRS) of a nuclear power plant is illustrated.

UR - https://www.scopus.com/pages/publications/85088758261

U2 - 10.1201/b17399-111

DO - 10.1201/b17399-111

M3 - 章节

AN - SCOPUS:85088758261

SN - 9781138026810

SP - 775

EP - 782

BT - Safety and Reliability

PB - CRC Press

ER -

Dynamic reliability models for multiple dependent competing degradation processes

Abstract

Access to Document

Other files and links

Fingerprint

Cite this