Failure probability estimation of long pipeline

Show simple item record Xie, Liyang Wang, Zheng Hao, Guangbo Zhang, Mingchuan
dc.contributor.editor Pham, Hoang 2019-06-06T08:54:48Z 2019-06-06T08:54:48Z 2008
dc.identifier.citation Xie, L., Wang, Z., Hao, G. and Zhang, M. (2008) ‘Failure probability estimation of long pipeline’, in Pham, H. (ed.) Recent Advances in Reliability and Quality in Design. Springer Series in Reliability Engineering. London: Springer, pp. 239-251. doi: 10.1007/978-1-84800-113-8_11 en
dc.identifier.startpage 239 en
dc.identifier.endpage 251 en
dc.identifier.isbn 978-1-84800-112-1
dc.identifier.isbn 978-1-84800-113-8
dc.identifier.doi 10.1007/978-1-84800-113-8_11 en
dc.description.abstract It is well known that, for the majority of pressurized pipelines, both the load and the resistance parameters show evident uncertainty, and a probabilistic approach should be applied to assess their behaviors. Concerning reliability estimation of passive components such as pressure vessel and pipeline, there are two kinds of approaches – direct estimation using statistics of historical failure event data, and indirect estimation using probabilistic analysis of the failure phenomena of consideration. The direct estimation method can be validated relatively easily. However, it suffers statistical uncertainty due to scarce data. Indirect estimation method relies on the statistics of material property and those of environment load which are more readily available. As to systems composed of passive components, statistical dependence among component failures is a complex issue that cannot be ignored in reliability estimation. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Springer London en
dc.relation.ispartof Advances in Reliability and Quality in Design
dc.relation.ispartof Springer Series in Reliability Engineering
dc.rights © 2008, Springer London. All rights reserved. en
dc.subject Failure probability en
dc.subject Series system en
dc.subject Component failure en
dc.subject Probabilistic risk assessment en
dc.subject Failure dependence en
dc.subject Pipeline en
dc.subject Large-scale series system en
dc.subject System strength distribution en
dc.subject System failure probability en
dc.subject Reliability en
dc.title Failure probability estimation of long pipeline en
dc.type Book chapter en
dc.internal.authorcontactother Guangbo Hao, Electrical & Electronic Engineering, University College Cork, Cork, Ireland. +353-21-490-3000 Email: en
dc.internal.availability Full text available en 2014-04-03T23:08:45Z
dc.description.version Accepted Version en
dc.internal.rssid 115559209
dc.contributor.funder Ministry of Education of the People's Republic of China en
dc.description.status Peer reviewed en
dc.internal.copyrightchecked No
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress en

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