Resilience modeling of multi-state degradation systems based on aggregated stochastic processes

S. J. Du; R. Kang; Z. G. Zeng; E. Zio

Resilience modeling of multi-state degradation systems based on aggregated stochastic processes

S. J. Du
, R. Kang
, Z. G. Zeng
, E. Zio

School of Reliability and Systems Engineering

Beihang University
Université Paris-Saclay
Polytechnic University of Milan

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

3 Scopus citations

Abstract

Multi-state systems are commonly encountered in practice (Lisnianski et al., 2003). Various indexes of reliability and availability have been defined. How-ever, the existing work on multi-state systems mainly focus on reliability and availability characteristics: resilience is not considered.

Original language	English
Title of host publication	Risk, Reliability and Safety
Subtitle of host publication	Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016
Editors	Lesley Walls, Matthew Revie, Tim Bedford
Publisher	CRC Press/Balkema
Pages	341
Number of pages	1
ISBN (Print)	9781138029972
State	Published - 2017
Event	26th European Safety and Reliability Conference, ESREL 2016 - Glasgow, United Kingdom Duration: 25 Sep 2016 → 29 Sep 2016

Publication series

Name	Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016

Conference

Conference	26th European Safety and Reliability Conference, ESREL 2016
Country/Territory	United Kingdom
City	Glasgow
Period	25/09/16 → 29/09/16

Cite this

Du, S. J., Kang, R., Zeng, Z. G., & Zio, E. (2017). Resilience modeling of multi-state degradation systems based on aggregated stochastic processes. In L. Walls, M. Revie, & T. Bedford (Eds.), Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016 (pp. 341). (Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016). CRC Press/Balkema.

Du, S. J. ; Kang, R. ; Zeng, Z. G. et al. / Resilience modeling of multi-state degradation systems based on aggregated stochastic processes. Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016. editor / Lesley Walls ; Matthew Revie ; Tim Bedford. CRC Press/Balkema, 2017. pp. 341 (Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016).

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title = "Resilience modeling of multi-state degradation systems based on aggregated stochastic processes",

abstract = "Multi-state systems are commonly encountered in practice (Lisnianski et al., 2003). Various indexes of reliability and availability have been defined. How-ever, the existing work on multi-state systems mainly focus on reliability and availability characteristics: resilience is not considered.",

author = "Du, \{S. J.\} and R. Kang and Zeng, \{Z. G.\} and E. Zio",

note = "Publisher Copyright: {\textcopyright} 2017 Taylor \& Francis Group, London.; 26th European Safety and Reliability Conference, ESREL 2016 ; Conference date: 25-09-2016 Through 29-09-2016",

year = "2017",

language = "英语",

isbn = "9781138029972",

series = "Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016",

publisher = "CRC Press/Balkema",

pages = "341",

editor = "Lesley Walls and Matthew Revie and Tim Bedford",

booktitle = "Risk, Reliability and Safety",

}

Du, SJ, Kang, R, Zeng, ZG & Zio, E 2017, Resilience modeling of multi-state degradation systems based on aggregated stochastic processes. in L Walls, M Revie & T Bedford (eds), Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016. Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016, CRC Press/Balkema, pp. 341, 26th European Safety and Reliability Conference, ESREL 2016, Glasgow, United Kingdom, 25/09/16.

Resilience modeling of multi-state degradation systems based on aggregated stochastic processes. / Du, S. J.; Kang, R.; Zeng, Z. G. et al.
Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016. ed. / Lesley Walls; Matthew Revie; Tim Bedford. CRC Press/Balkema, 2017. p. 341 (Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016).

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

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T1 - Resilience modeling of multi-state degradation systems based on aggregated stochastic processes

AU - Du, S. J.

AU - Kang, R.

AU - Zeng, Z. G.

AU - Zio, E.

PY - 2017

Y1 - 2017

N2 - Multi-state systems are commonly encountered in practice (Lisnianski et al., 2003). Various indexes of reliability and availability have been defined. How-ever, the existing work on multi-state systems mainly focus on reliability and availability characteristics: resilience is not considered.

AB - Multi-state systems are commonly encountered in practice (Lisnianski et al., 2003). Various indexes of reliability and availability have been defined. How-ever, the existing work on multi-state systems mainly focus on reliability and availability characteristics: resilience is not considered.

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M3 - 会议稿件

AN - SCOPUS:85016216964

SN - 9781138029972

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SP - 341

BT - Risk, Reliability and Safety

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A2 - Bedford, Tim

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T2 - 26th European Safety and Reliability Conference, ESREL 2016

Y2 - 25 September 2016 through 29 September 2016

ER -

Du SJ, Kang R, Zeng ZG, Zio E. Resilience modeling of multi-state degradation systems based on aggregated stochastic processes. In Walls L, Revie M, Bedford T, editors, Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016. CRC Press/Balkema. 2017. p. 341. (Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016).

Resilience modeling of multi-state degradation systems based on aggregated stochastic processes

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