RELIABILITY ANALYSIS OF DATA FUSION BASED ON A MIXED BASIS DISTRIBUTION METHOD

Aiming at the life data information of multiple types of testing sources for the same product, a mixed base distribution constructed to achieve three-source data fusion, and at the same time, the overall distribution density function of the life data source was estimated. And the iterative formula o...

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Main Authors: ZHANG XiaoJie, TANG JiaYin
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2022-01-01
Series:Jixie qiangdu
Subjects:
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.01.015
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author ZHANG XiaoJie
TANG JiaYin
author_facet ZHANG XiaoJie
TANG JiaYin
author_sort ZHANG XiaoJie
collection DOAJ
description Aiming at the life data information of multiple types of testing sources for the same product, a mixed base distribution constructed to achieve three-source data fusion, and at the same time, the overall distribution density function of the life data source was estimated. And the iterative formula of the maximum likelihood estimation of each unknown parameter in the parameter vectors of the mixed basis distribution density function was obtained based on the EM algorithm. At the same time, the estimated value of each parameter was given by using the sample weighted by Bootstrap method, the density function analysis of the mixed basis distribution was determined, and the product reliability analysis was completed. The calculation example verified the feasibility and effectiveness of this type of model.
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spelling doaj.art-7172794ff7734d6ca006bc2bd0b0e7272023-08-01T07:38:08ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692022-01-014411111829910269RELIABILITY ANALYSIS OF DATA FUSION BASED ON A MIXED BASIS DISTRIBUTION METHODZHANG XiaoJieTANG JiaYinAiming at the life data information of multiple types of testing sources for the same product, a mixed base distribution constructed to achieve three-source data fusion, and at the same time, the overall distribution density function of the life data source was estimated. And the iterative formula of the maximum likelihood estimation of each unknown parameter in the parameter vectors of the mixed basis distribution density function was obtained based on the EM algorithm. At the same time, the estimated value of each parameter was given by using the sample weighted by Bootstrap method, the density function analysis of the mixed basis distribution was determined, and the product reliability analysis was completed. The calculation example verified the feasibility and effectiveness of this type of model.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.01.015Mixed basis;Maximum likelihood estimation;EM algorithm;Data fusion;Bootstrap method
spellingShingle ZHANG XiaoJie
TANG JiaYin
RELIABILITY ANALYSIS OF DATA FUSION BASED ON A MIXED BASIS DISTRIBUTION METHOD
Jixie qiangdu
Mixed basis;Maximum likelihood estimation;EM algorithm;Data fusion;Bootstrap method
title RELIABILITY ANALYSIS OF DATA FUSION BASED ON A MIXED BASIS DISTRIBUTION METHOD
title_full RELIABILITY ANALYSIS OF DATA FUSION BASED ON A MIXED BASIS DISTRIBUTION METHOD
title_fullStr RELIABILITY ANALYSIS OF DATA FUSION BASED ON A MIXED BASIS DISTRIBUTION METHOD
title_full_unstemmed RELIABILITY ANALYSIS OF DATA FUSION BASED ON A MIXED BASIS DISTRIBUTION METHOD
title_short RELIABILITY ANALYSIS OF DATA FUSION BASED ON A MIXED BASIS DISTRIBUTION METHOD
title_sort reliability analysis of data fusion based on a mixed basis distribution method
topic Mixed basis;Maximum likelihood estimation;EM algorithm;Data fusion;Bootstrap method
url http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.01.015
work_keys_str_mv AT zhangxiaojie reliabilityanalysisofdatafusionbasedonamixedbasisdistributionmethod
AT tangjiayin reliabilityanalysisofdatafusionbasedonamixedbasisdistributionmethod