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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Format: | Article |
Language: | zho |
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Editorial Office of Journal of Mechanical Strength
2016-01-01
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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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format | Article |
id | doaj.art-636c2b3875ac484fb529a7a3f2d7cadb |
institution | Directory Open Access Journal |
issn | 1001-9669 |
language | zho |
last_indexed | 2024-03-12T20:47:04Z |
publishDate | 2016-01-01 |
publisher | Editorial Office of Journal of Mechanical Strength |
record_format | Article |
series | Jixie qiangdu |
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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