RELIABILITY ASSESSMENT MODEL BASED ON RELATIVE ENTROPY INFORMATION FUSION WITH DOUBLE CONSTANT ACCELERATING STRESSES

In the reliability assessment of products,this paper tried to make full use of a small amount of field data under natural storage, which might break through the restriction of using single pseudo-sample data in accelerated tests. The comprehensive reliability evaluation model,fusing exponential and...

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Main Authors: YIN ZeKai, TANG JiaYin, HE Ping
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2021-01-01
Series:Jixie qiangdu
Subjects:
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2021.04.012
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author YIN ZeKai
TANG JiaYin
HE Ping
author_facet YIN ZeKai
TANG JiaYin
HE Ping
author_sort YIN ZeKai
collection DOAJ
description In the reliability assessment of products,this paper tried to make full use of a small amount of field data under natural storage, which might break through the restriction of using single pseudo-sample data in accelerated tests. The comprehensive reliability evaluation model,fusing exponential and Weibull natural storage field data and accelerated storage sample data,was built based on the integrating of relative entropy and the least square method. Simulation results indicate that the method can fuse two sources of information effectively,and when the amount of field data is small,the assessment of model is robust.
format Article
id doaj-art-0329cf85e0f044f0a123e35147f19ec5
institution Kabale University
issn 1001-9669
language zho
publishDate 2021-01-01
publisher Editorial Office of Journal of Mechanical Strength
record_format Article
series Jixie qiangdu
spelling doaj-art-0329cf85e0f044f0a123e35147f19ec52025-01-15T02:25:41ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692021-01-014384184830611335RELIABILITY ASSESSMENT MODEL BASED ON RELATIVE ENTROPY INFORMATION FUSION WITH DOUBLE CONSTANT ACCELERATING STRESSESYIN ZeKaiTANG JiaYinHE PingIn the reliability assessment of products,this paper tried to make full use of a small amount of field data under natural storage, which might break through the restriction of using single pseudo-sample data in accelerated tests. The comprehensive reliability evaluation model,fusing exponential and Weibull natural storage field data and accelerated storage sample data,was built based on the integrating of relative entropy and the least square method. Simulation results indicate that the method can fuse two sources of information effectively,and when the amount of field data is small,the assessment of model is robust.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2021.04.012Relative entropyLeast squares methodAccelerated test with double stressesInformation fusion
spellingShingle YIN ZeKai
TANG JiaYin
HE Ping
RELIABILITY ASSESSMENT MODEL BASED ON RELATIVE ENTROPY INFORMATION FUSION WITH DOUBLE CONSTANT ACCELERATING STRESSES
Jixie qiangdu
Relative entropy
Least squares method
Accelerated test with double stresses
Information fusion
title RELIABILITY ASSESSMENT MODEL BASED ON RELATIVE ENTROPY INFORMATION FUSION WITH DOUBLE CONSTANT ACCELERATING STRESSES
title_full RELIABILITY ASSESSMENT MODEL BASED ON RELATIVE ENTROPY INFORMATION FUSION WITH DOUBLE CONSTANT ACCELERATING STRESSES
title_fullStr RELIABILITY ASSESSMENT MODEL BASED ON RELATIVE ENTROPY INFORMATION FUSION WITH DOUBLE CONSTANT ACCELERATING STRESSES
title_full_unstemmed RELIABILITY ASSESSMENT MODEL BASED ON RELATIVE ENTROPY INFORMATION FUSION WITH DOUBLE CONSTANT ACCELERATING STRESSES
title_short RELIABILITY ASSESSMENT MODEL BASED ON RELATIVE ENTROPY INFORMATION FUSION WITH DOUBLE CONSTANT ACCELERATING STRESSES
title_sort reliability assessment model based on relative entropy information fusion with double constant accelerating stresses
topic Relative entropy
Least squares method
Accelerated test with double stresses
Information fusion
url http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2021.04.012
work_keys_str_mv AT yinzekai reliabilityassessmentmodelbasedonrelativeentropyinformationfusionwithdoubleconstantacceleratingstresses
AT tangjiayin reliabilityassessmentmodelbasedonrelativeentropyinformationfusionwithdoubleconstantacceleratingstresses
AT heping reliabilityassessmentmodelbasedonrelativeentropyinformationfusionwithdoubleconstantacceleratingstresses