Calculation of Importance Measure of Multi-State Phased-Mission Systems with Cascading Effect

Mi Zhou; Shuai Zhang; Chenyang Ma; An Wu; Zhiqiang Cai

doi:10.1049/icp.2022.2911

Calculation of Importance Measure of Multi-State Phased-Mission Systems with Cascading Effect

Mi Zhou, Shuai Zhang, Chenyang Ma, An Wu, Zhiqiang Cai

School of Mechanical Engineering

Northwestern Polytechnical University Xian

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

1 Scopus citations

Abstract

Importance measure refers to the degree to which the system performance is affected by the failure or state change of single or few components in the system. It can be used to reasonably allocate detection and maintenance resources, so as to guarantee the common operation of the most important components in system. Traditional importance measures could not evaluate the multi-state phased-mission system (MS-PMS) with cascading effect. Then we propose a method to calculate the multi-state Birnbaum importance, reliability achievement worth, risk reduction worth and Fussell-Vesely importance of MS-PMS with cascading effect. Finally, we give a numerical example to verify this combination way.

Original language	English
Title of host publication	IET Conference Proceedings
Publisher	Institution of Engineering and Technology
Pages	466-471
Number of pages	6
Volume	2022
Edition	21
ISBN (Electronic)	9781839538360
DOIs	https://doi.org/10.1049/icp.2022.2911
State	Published - 2022
Event	12th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2022 - Emeishan, China Duration: 27 Jul 2022 → 30 Jul 2022

Conference

Conference	12th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2022
Country/Territory	China
City	Emeishan
Period	27/07/22 → 30/07/22

Keywords

Birnbaum Importance
Cascading Effect
Importance measures
MMDD
MS-PMS

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10.1049/icp.2022.2911

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title = "Calculation of Importance Measure of Multi-State Phased-Mission Systems with Cascading Effect",

abstract = "Importance measure refers to the degree to which the system performance is affected by the failure or state change of single or few components in the system. It can be used to reasonably allocate detection and maintenance resources, so as to guarantee the common operation of the most important components in system. Traditional importance measures could not evaluate the multi-state phased-mission system (MS-PMS) with cascading effect. Then we propose a method to calculate the multi-state Birnbaum importance, reliability achievement worth, risk reduction worth and Fussell-Vesely importance of MS-PMS with cascading effect. Finally, we give a numerical example to verify this combination way.",

keywords = "Birnbaum Importance, Cascading Effect, Importance measures, MMDD, MS-PMS",

author = "Mi Zhou and Shuai Zhang and Chenyang Ma and An Wu and Zhiqiang Cai",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 12th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2022 ; Conference date: 27-07-2022 Through 30-07-2022",

year = "2022",

doi = "10.1049/icp.2022.2911",

language = "英语",

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Zhou, M, Zhang, S, Ma, C, Wu, A & Cai, Z 2022, Calculation of Importance Measure of Multi-State Phased-Mission Systems with Cascading Effect. in IET Conference Proceedings. 21 edn, vol. 2022, Institution of Engineering and Technology, pp. 466-471, 12th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2022, Emeishan, China, 27/07/22. https://doi.org/10.1049/icp.2022.2911

TY - GEN

T1 - Calculation of Importance Measure of Multi-State Phased-Mission Systems with Cascading Effect

AU - Zhou, Mi

AU - Zhang, Shuai

AU - Ma, Chenyang

AU - Wu, An

AU - Cai, Zhiqiang

PY - 2022

Y1 - 2022

N2 - Importance measure refers to the degree to which the system performance is affected by the failure or state change of single or few components in the system. It can be used to reasonably allocate detection and maintenance resources, so as to guarantee the common operation of the most important components in system. Traditional importance measures could not evaluate the multi-state phased-mission system (MS-PMS) with cascading effect. Then we propose a method to calculate the multi-state Birnbaum importance, reliability achievement worth, risk reduction worth and Fussell-Vesely importance of MS-PMS with cascading effect. Finally, we give a numerical example to verify this combination way.

AB - Importance measure refers to the degree to which the system performance is affected by the failure or state change of single or few components in the system. It can be used to reasonably allocate detection and maintenance resources, so as to guarantee the common operation of the most important components in system. Traditional importance measures could not evaluate the multi-state phased-mission system (MS-PMS) with cascading effect. Then we propose a method to calculate the multi-state Birnbaum importance, reliability achievement worth, risk reduction worth and Fussell-Vesely importance of MS-PMS with cascading effect. Finally, we give a numerical example to verify this combination way.

KW - Birnbaum Importance

KW - Cascading Effect

KW - Importance measures

KW - MMDD

KW - MS-PMS

UR - http://www.scopus.com/inward/record.url?scp=85164296931&partnerID=8YFLogxK

U2 - 10.1049/icp.2022.2911

DO - 10.1049/icp.2022.2911

M3 - 会议稿件

AN - SCOPUS:85164296931

VL - 2022

SP - 466

EP - 471

BT - IET Conference Proceedings

PB - Institution of Engineering and Technology

T2 - 12th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2022

Y2 - 27 July 2022 through 30 July 2022

ER -

Calculation of Importance Measure of Multi-State Phased-Mission Systems with Cascading Effect

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Keywords

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