METHOD OF DEGRADATION DATA RELIABILITY EVALUATION BASED ON THE LEAST SQUARE SUPPORT VECTOR MACHINE

The traditional reliability evaluation is based on the failure data,which needs a large amount of statistical data and samples,and comprises the characteristics of long test cycle and high cost. To solve this problem,without failure data,a method of reliability evaluation was proposed which was base...

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Main Authors: FENG Shuai, FENG JinFu, WANG Cong, QI Duo, LI YongLi
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2016-01-01
Series:Jixie qiangdu
Subjects:
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2016.03.015
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author FENG Shuai
FENG JinFu
WANG Cong
QI Duo
LI YongLi
author_facet FENG Shuai
FENG JinFu
WANG Cong
QI Duo
LI YongLi
author_sort FENG Shuai
collection DOAJ
description The traditional reliability evaluation is based on the failure data,which needs a large amount of statistical data and samples,and comprises the characteristics of long test cycle and high cost. To solve this problem,without failure data,a method of reliability evaluation was proposed which was based on the performance degradation data. The performance degradation model was built in the method which was based on the least square support machine. With the help of NSGA-II,the parameters optimization of the method above had been done,and the process of parameters optimization and reliability evaluation was given.Last but not least,the availability of the method is validated.
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spelling doaj.art-636c2b3875ac484fb529a7a3f2d7cadb2023-08-01T07:42:07ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692016-01-013850951430594872METHOD OF DEGRADATION DATA RELIABILITY EVALUATION BASED ON THE LEAST SQUARE SUPPORT VECTOR MACHINEFENG ShuaiFENG JinFuWANG CongQI DuoLI YongLiThe traditional reliability evaluation is based on the failure data,which needs a large amount of statistical data and samples,and comprises the characteristics of long test cycle and high cost. To solve this problem,without failure data,a method of reliability evaluation was proposed which was based on the performance degradation data. The performance degradation model was built in the method which was based on the least square support machine. With the help of NSGA-II,the parameters optimization of the method above had been done,and the process of parameters optimization and reliability evaluation was given.Last but not least,the availability of the method is validated.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2016.03.015Reliability evaluation;Failure data;Least square support vector machine(LS-SVM);Parameter optimization
spellingShingle FENG Shuai
FENG JinFu
WANG Cong
QI Duo
LI YongLi
METHOD OF DEGRADATION DATA RELIABILITY EVALUATION BASED ON THE LEAST SQUARE SUPPORT VECTOR MACHINE
Jixie qiangdu
Reliability evaluation;Failure data;Least square support vector machine(LS-SVM);Parameter optimization
title METHOD OF DEGRADATION DATA RELIABILITY EVALUATION BASED ON THE LEAST SQUARE SUPPORT VECTOR MACHINE
title_full METHOD OF DEGRADATION DATA RELIABILITY EVALUATION BASED ON THE LEAST SQUARE SUPPORT VECTOR MACHINE
title_fullStr METHOD OF DEGRADATION DATA RELIABILITY EVALUATION BASED ON THE LEAST SQUARE SUPPORT VECTOR MACHINE
title_full_unstemmed METHOD OF DEGRADATION DATA RELIABILITY EVALUATION BASED ON THE LEAST SQUARE SUPPORT VECTOR MACHINE
title_short METHOD OF DEGRADATION DATA RELIABILITY EVALUATION BASED ON THE LEAST SQUARE SUPPORT VECTOR MACHINE
title_sort method of degradation data reliability evaluation based on the least square support vector machine
topic Reliability evaluation;Failure data;Least square support vector machine(LS-SVM);Parameter optimization
url http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2016.03.015
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