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

YIN ZeKai; TANG JiaYin; HE Ping

doi:10.16579/j.issn.1001.9669.2021.04.012

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

更新时间：2022-09-22

- RELIABILITY ASSESSMENT MODEL BASED ON RELATIVE ENTROPY INFORMATION FUSION WITH DOUBLE CONSTANT ACCELERATING STRESSES
- Journal of Mechanical Strength Vol. 43, Issue 4, Pages: 841-848(2021)
- 作者机构：
  
  1. 西南交通大学数学学院统计系
- 作者简介：
- 基金信息：
- DOI：10.16579/j.issn.1001.9669.2021.04.012
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YIN ZeKai, TANG JiaYin, HE Ping. RELIABILITY ASSESSMENT MODEL BASED ON RELATIVE ENTROPY INFORMATION FUSION WITH DOUBLE CONSTANT ACCELERATING STRESSES. [J]. 43(4):841-848(2021)
DOI：

YIN ZeKai, TANG JiaYin, HE Ping. RELIABILITY ASSESSMENT MODEL BASED ON RELATIVE ENTROPY INFORMATION FUSION WITH DOUBLE CONSTANT ACCELERATING STRESSES. [J]. 43(4):841-848(2021) DOI： 10.16579/j.issn.1001.9669.2021.04.012.

摘要

充分考虑到自然贮存下得到的少量现场数据信息,突破依据加速试验单一伪样本数据进行产品常应力可靠性评估的制约。基于相对熵和最小二乘统计法相结合的思想,探讨指数型与Weibull型产品的自然贮存现场数据和加速贮存样本数据融合机制,建立了综合可靠性评估模型。仿真结果表明,模型能够有效地融合两源数据,且在现场数据较少时,模型的评估具备稳健性。

Abstract

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.

关键词

相对熵最小二乘法双应力加速试验信息融合

Keywords

Relative entropyLeast squares methodAccelerated test with double stressesInformation fusion

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Related Institution

School of Information Engineering,Guangzhou Panyu Polytechnic University

Department of Mechanical Manufacture and Automation,Yibin Vocational and Technical Collge

School of Mechanical Engineering,Tianjin Polytechnic University

Key Laboratory of Advanced Mechatronics Equipment Technology

Tianjin University of Technology and Education

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