Reliability Evaluation of Cryogenic Shut-Off Valve Based on Weibull Segmented Model

In order to improve the prediction accuracy of cryogenic shut-off valve failures and quantitatively analyze the distribution law of cryogenic shut-off valve failures, this study establishes a solution model based on genetic algorithm and statistics of cryogenic shut-off valve operating data, which i...

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Main Authors: Yi Lu, Jian-Ming Zheng, Ting Chen
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advances in Materials Science and Engineering
Online Access:http://dx.doi.org/10.1155/2022/2612123
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author Yi Lu
Jian-Ming Zheng
Ting Chen
author_facet Yi Lu
Jian-Ming Zheng
Ting Chen
author_sort Yi Lu
collection DOAJ
description In order to improve the prediction accuracy of cryogenic shut-off valve failures and quantitatively analyze the distribution law of cryogenic shut-off valve failures, this study establishes a solution model based on genetic algorithm and statistics of cryogenic shut-off valve operating data, which is combined with two Weibull segmented models. The research analyzed the characteristics of the failure rate curve using probability statistical mathematics methods, used the K-S test method to validate the obtained two-parameter Weibull model, and compared the fitting results with the Weibull probability plot. The results show that the genetic algorithm based on D-test has both higher accuracy of curve fitting and more accurate parameters, which overcomes the shortcomings of inaccurate fitting results of WPP graphs, and can be used as a basis for theoretical assessment of reliability levels.
format Article
id doaj-art-c822408dac9f4b7e83f57d60fa496448
institution DOAJ
issn 1687-8442
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Advances in Materials Science and Engineering
spelling doaj-art-c822408dac9f4b7e83f57d60fa4964482025-08-20T03:23:35ZengWileyAdvances in Materials Science and Engineering1687-84422022-01-01202210.1155/2022/2612123Reliability Evaluation of Cryogenic Shut-Off Valve Based on Weibull Segmented ModelYi Lu0Jian-Ming Zheng1Ting Chen2Xi’an University of TechnologyXi’an University of TechnologyXi’an University of TechnologyIn order to improve the prediction accuracy of cryogenic shut-off valve failures and quantitatively analyze the distribution law of cryogenic shut-off valve failures, this study establishes a solution model based on genetic algorithm and statistics of cryogenic shut-off valve operating data, which is combined with two Weibull segmented models. The research analyzed the characteristics of the failure rate curve using probability statistical mathematics methods, used the K-S test method to validate the obtained two-parameter Weibull model, and compared the fitting results with the Weibull probability plot. The results show that the genetic algorithm based on D-test has both higher accuracy of curve fitting and more accurate parameters, which overcomes the shortcomings of inaccurate fitting results of WPP graphs, and can be used as a basis for theoretical assessment of reliability levels.http://dx.doi.org/10.1155/2022/2612123
spellingShingle Yi Lu
Jian-Ming Zheng
Ting Chen
Reliability Evaluation of Cryogenic Shut-Off Valve Based on Weibull Segmented Model
Advances in Materials Science and Engineering
title Reliability Evaluation of Cryogenic Shut-Off Valve Based on Weibull Segmented Model
title_full Reliability Evaluation of Cryogenic Shut-Off Valve Based on Weibull Segmented Model
title_fullStr Reliability Evaluation of Cryogenic Shut-Off Valve Based on Weibull Segmented Model
title_full_unstemmed Reliability Evaluation of Cryogenic Shut-Off Valve Based on Weibull Segmented Model
title_short Reliability Evaluation of Cryogenic Shut-Off Valve Based on Weibull Segmented Model
title_sort reliability evaluation of cryogenic shut off valve based on weibull segmented model
url http://dx.doi.org/10.1155/2022/2612123
work_keys_str_mv AT yilu reliabilityevaluationofcryogenicshutoffvalvebasedonweibullsegmentedmodel
AT jianmingzheng reliabilityevaluationofcryogenicshutoffvalvebasedonweibullsegmentedmodel
AT tingchen reliabilityevaluationofcryogenicshutoffvalvebasedonweibullsegmentedmodel