The reliability assessment of the electromagnetic valve of high-speed electric multiple units braking system based on two-parameter exponential distribution

In order to solve the reliability assessment of braking system component of high-speed electric multiple units, this article, based on two-parameter exponential distribution, provides the maximum likelihood estimation and Bayes estimation under a type-I life test. First of all, we evaluate the failu...

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Main Authors: Jianwei Yang, Chunqing Zhao, Jinhai Wang, Dechen Yao, Yongliang Bai
Format: Article
Language:English
Published: SAGE Publishing 2016-06-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1177/1687814016654632
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author Jianwei Yang
Chunqing Zhao
Jinhai Wang
Dechen Yao
Yongliang Bai
author_facet Jianwei Yang
Chunqing Zhao
Jinhai Wang
Dechen Yao
Yongliang Bai
author_sort Jianwei Yang
collection DOAJ
description In order to solve the reliability assessment of braking system component of high-speed electric multiple units, this article, based on two-parameter exponential distribution, provides the maximum likelihood estimation and Bayes estimation under a type-I life test. First of all, we evaluate the failure probability value according to the classical estimation method and then obtain the maximum likelihood estimation of parameters of two-parameter exponential distribution by performing and using the modified likelihood function. On the other hand, based on Bayesian theory, this article also selects the beta and gamma distributions as the prior distribution, combines with the modified maximum likelihood function, and innovatively applies a Markov chain Monte Carlo algorithm to parameters assessment based on Bayes estimation method for two-parameter exponential distribution, so that two reliability mathematical models of the electromagnetic valve are obtained. Finally, through type-I life test, the failure rates according to maximum likelihood estimation and Bayes estimation method based on Markov chain Monte Carlo algorithm are, respectively, 2.650 × 10 −5 and 3.037 × 10 −5 . Compared with the failure rate of a electromagnetic valve 3.005 × 10 −5 , it proves that the Bayes method can use a Markov chain Monte Carlo algorithm to estimate reliability for two-parameter exponential distribution and Bayes estimation is more closer to the value of electromagnetic valve. So, by fully integrating multi-source, Bayes estimation method can preferably modify and precisely estimate the parameters, which can provide a certain theoretical basis for the safety operation of high-speed electric multiple units.
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spelling doaj.art-be711a6bcee8406686ad3359271469222022-12-22T00:23:54ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402016-06-01810.1177/168781401665463210.1177_1687814016654632The reliability assessment of the electromagnetic valve of high-speed electric multiple units braking system based on two-parameter exponential distributionJianwei YangChunqing ZhaoJinhai WangDechen YaoYongliang BaiIn order to solve the reliability assessment of braking system component of high-speed electric multiple units, this article, based on two-parameter exponential distribution, provides the maximum likelihood estimation and Bayes estimation under a type-I life test. First of all, we evaluate the failure probability value according to the classical estimation method and then obtain the maximum likelihood estimation of parameters of two-parameter exponential distribution by performing and using the modified likelihood function. On the other hand, based on Bayesian theory, this article also selects the beta and gamma distributions as the prior distribution, combines with the modified maximum likelihood function, and innovatively applies a Markov chain Monte Carlo algorithm to parameters assessment based on Bayes estimation method for two-parameter exponential distribution, so that two reliability mathematical models of the electromagnetic valve are obtained. Finally, through type-I life test, the failure rates according to maximum likelihood estimation and Bayes estimation method based on Markov chain Monte Carlo algorithm are, respectively, 2.650 × 10 −5 and 3.037 × 10 −5 . Compared with the failure rate of a electromagnetic valve 3.005 × 10 −5 , it proves that the Bayes method can use a Markov chain Monte Carlo algorithm to estimate reliability for two-parameter exponential distribution and Bayes estimation is more closer to the value of electromagnetic valve. So, by fully integrating multi-source, Bayes estimation method can preferably modify and precisely estimate the parameters, which can provide a certain theoretical basis for the safety operation of high-speed electric multiple units.https://doi.org/10.1177/1687814016654632
spellingShingle Jianwei Yang
Chunqing Zhao
Jinhai Wang
Dechen Yao
Yongliang Bai
The reliability assessment of the electromagnetic valve of high-speed electric multiple units braking system based on two-parameter exponential distribution
Advances in Mechanical Engineering
title The reliability assessment of the electromagnetic valve of high-speed electric multiple units braking system based on two-parameter exponential distribution
title_full The reliability assessment of the electromagnetic valve of high-speed electric multiple units braking system based on two-parameter exponential distribution
title_fullStr The reliability assessment of the electromagnetic valve of high-speed electric multiple units braking system based on two-parameter exponential distribution
title_full_unstemmed The reliability assessment of the electromagnetic valve of high-speed electric multiple units braking system based on two-parameter exponential distribution
title_short The reliability assessment of the electromagnetic valve of high-speed electric multiple units braking system based on two-parameter exponential distribution
title_sort reliability assessment of the electromagnetic valve of high speed electric multiple units braking system based on two parameter exponential distribution
url https://doi.org/10.1177/1687814016654632
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