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Cascading failure analysis of multistate loading dependent systems with application in an overloading piping network

Many production and safeguard systems consisting of multiple components are susceptible to the cascading failures, where one possibility is that the failure of a component leads to more workloads of other components. Such loading dependence can result in failure propagation, make the systems more vu...

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Main Authors: Zhao, Yixin, Cai, Baoping, Kang, Henry Hooi Siang, Liu, Yiliu
Format: Article
Language:English
Published: Elsevier Ltd 2023
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utm.my/106650/1/KangHooiSiang2023_CascadingFailureAnalysisofMultistateLoading.pdf
http://eprints.utm.my/106650/
http://dx.doi.org/10.1016/j.ress.2022.109007
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spelling my.utm.1066502024-07-14T09:28:27Z http://eprints.utm.my/106650/ Cascading failure analysis of multistate loading dependent systems with application in an overloading piping network Zhao, Yixin Cai, Baoping Kang, Henry Hooi Siang Liu, Yiliu TJ Mechanical engineering and machinery Many production and safeguard systems consisting of multiple components are susceptible to the cascading failures, where one possibility is that the failure of a component leads to more workloads of other components. Such loading dependence can result in failure propagation, make the systems more vulnerable and maintenance decision-makings more difficult. In this study, we develop a model for analyzing the propagation process of failures in loading dependent systems considering overloading states and degradation of components. The multinomial distribution is applied to characterize the probabilities of total numbers of failed- and overloading components, and probability distributions of different stop scenarios of cascading process are derived. A practical case in piping network is investigated to illustrate the analysis procedure, and to compare the effectiveness of the proposed model with those of the existing methods. Numerical analyses are conducted for evaluating the factors influencing the probability distributions of total number of failed- and overloading components, as well as the occurrence frequencies of different stop scenarios. It is expected that design and maintenance of loading dependent systems can be optimized with the support of this new cascading analysis approach. Elsevier Ltd 2023-03 Article PeerReviewed application/pdf en http://eprints.utm.my/106650/1/KangHooiSiang2023_CascadingFailureAnalysisofMultistateLoading.pdf Zhao, Yixin and Cai, Baoping and Kang, Henry Hooi Siang and Liu, Yiliu (2023) Cascading failure analysis of multistate loading dependent systems with application in an overloading piping network. Reliability Engineering and System Safety, 231 (NA). pp. 1-12. ISSN 0951-8320 http://dx.doi.org/10.1016/j.ress.2022.109007 DOI:10.1016/j.ress.2022.109007
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Zhao, Yixin
Cai, Baoping
Kang, Henry Hooi Siang
Liu, Yiliu
Cascading failure analysis of multistate loading dependent systems with application in an overloading piping network
description Many production and safeguard systems consisting of multiple components are susceptible to the cascading failures, where one possibility is that the failure of a component leads to more workloads of other components. Such loading dependence can result in failure propagation, make the systems more vulnerable and maintenance decision-makings more difficult. In this study, we develop a model for analyzing the propagation process of failures in loading dependent systems considering overloading states and degradation of components. The multinomial distribution is applied to characterize the probabilities of total numbers of failed- and overloading components, and probability distributions of different stop scenarios of cascading process are derived. A practical case in piping network is investigated to illustrate the analysis procedure, and to compare the effectiveness of the proposed model with those of the existing methods. Numerical analyses are conducted for evaluating the factors influencing the probability distributions of total number of failed- and overloading components, as well as the occurrence frequencies of different stop scenarios. It is expected that design and maintenance of loading dependent systems can be optimized with the support of this new cascading analysis approach.
format Article
author Zhao, Yixin
Cai, Baoping
Kang, Henry Hooi Siang
Liu, Yiliu
author_facet Zhao, Yixin
Cai, Baoping
Kang, Henry Hooi Siang
Liu, Yiliu
author_sort Zhao, Yixin
title Cascading failure analysis of multistate loading dependent systems with application in an overloading piping network
title_short Cascading failure analysis of multistate loading dependent systems with application in an overloading piping network
title_full Cascading failure analysis of multistate loading dependent systems with application in an overloading piping network
title_fullStr Cascading failure analysis of multistate loading dependent systems with application in an overloading piping network
title_full_unstemmed Cascading failure analysis of multistate loading dependent systems with application in an overloading piping network
title_sort cascading failure analysis of multistate loading dependent systems with application in an overloading piping network
publisher Elsevier Ltd
publishDate 2023
url http://eprints.utm.my/106650/1/KangHooiSiang2023_CascadingFailureAnalysisofMultistateLoading.pdf
http://eprints.utm.my/106650/
http://dx.doi.org/10.1016/j.ress.2022.109007
_version_ 1805880847134359552
score 13.211869

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