电子电气工程与控制

基于面积度量的加速退化试验可信性评价方法

  • 锁斌 ,
  • 闫英
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  • 1. 西南科技大学 信息工程学院, 绵阳 621010;
    2. 西南交通大学 系统可信性自动验证国家地方联合工程实验室, 成都 611731;
    3. 西南科技大学 经济管理学院, 绵阳 621010

收稿日期: 2021-01-05

  修回日期: 2021-03-02

  网络出版日期: 2021-04-27

基金资助

国防科技“十三五”重大项目;中央军委装备发展部技术基础科研项目(171ZW31001);中央军委装备发展部“十三五”跨行业预研项目(41424050101);国家自然科学基金(U183010080);西南科技大学科研基金(21zx7125)

A new credibility evaluation method for accelerated degradation test based on area metric

  • SUO Bin ,
  • YAN Ying
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  • 1. School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China;
    2. National-Local Joint Engineering Laboratory of System Credibility Automatic Verification, Southwest Jiaotong University, Chengdu 611731, China;
    3. School of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China

Received date: 2021-01-05

  Revised date: 2021-03-02

  Online published: 2021-04-27

Supported by

Defense Industrial Technology Development Program; Equipment Development Department of People's Republic of China Central Military Commission Basic Research Project (171ZW31001); Advanced Research of National Defense Foundation of China (41424050101); National Natural Science Foundation of China (U183010080); Southwest University of Science and Technology Development Funds (21zx7125)

摘要

针对已有方法难以定量给出产品加速退化试验(ADT)结果可信程度的问题,以正常应力下的试验数据为基准,基于面积度量思想提出了一种加速退化试验结果可信性的定量评价方法。基于加速退化试验数据和基准数据的概率分布距离,构建了加速退化试验可信性的面积度量指标,在此基础上,提出了一种归一化、无量纲的加速退化试验可信度指标CIA,并基于时间重要度的概念将多个单点的CIA综合成一个可反映整个产品加速退化试验可信性的指标。实例分析表明,新指标可以让设计师和决策者直观评判产品加速退化试验结果的可信程度,方便横向对比不同产品的加速退化试验结果的优劣;所建立的新指标适用于基准数据大样本、小样本、极小样本等不同情况,具有良好的通用性。

本文引用格式

锁斌 , 闫英 . 基于面积度量的加速退化试验可信性评价方法[J]. 航空学报, 2022 , 43(3) : 325207 -325207 . DOI: 10.7527/S1000-6893.2021.25207

Abstract

To solve the problem that existing methods cannot quantify the credibility degree of Accelerated Degradation Test (ADT) results, a quantitative evaluation method is proposed based on area measurement.Based on the probability distribution distance between ADT data and baseline data, an area metrics for the credibility of ADT is constructed.On this basis, a normalized dimensionless index CIA is proposed.Then, based on the concept of data importance, multiple single-point CIA indexes are synthesized into one index that can reflect the credibility degree of the whole ADT of a product.The numerical examples show that the new metrics enables designers and decision makers to know the credibility degree of the product ADT results directly, and facilitates horizontal comparison of the credibility of ADT results of different products.The new metrics can be used in different data situations such as large sample, small sample and incredibly small sample, and has good universality.

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