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基于加速因子不变原则的加速退化数据分析方法

王浩伟 滕克难 盖炳良

电子学报2018,Vol.46Issue(3):739-747,9.
电子学报2018,Vol.46Issue(3):739-747,9.DOI:10.3969/j.issn.0372-2112.2018.03.032

基于加速因子不变原则的加速退化数据分析方法

The Method of Analyzing Accelerated Degradation Data Based on Acceleration Factor Constant Principle

王浩伟 1滕克难 1盖炳良1

作者信息

  • 1. 海军航空大学,山东 烟台,264001
  • 折叠

摘要

Abstract

The technology of accelerated degradation testing has become an efficient approach to evaluating the reliability of the degrading product. However, the method of analyzing accelerated degradation data, which excessively dependents on subjective experience, results in the inaccuracy of the reliability evaluation. In the paper, a more objective method based on acceleration factor constant principle is proposed. First, the changing rules of the parameters of degradation models are deduced according to the acceleration factor constant principle. Next, the effectiveness of the degradation data under each accelerated stress is identified through the parameter equation independent of accelerated stress. The key is that a t statistic is constructed to verify whether the parameter estimates satisfy the parameter equation. Then, the acceleration models of the parameters dependent on accelerated stress are constructed. Last, the effective accelerated degradation data is utilized to estimate parameters, so the reliability under the normal stress level can be extraplolated. The proposed method is demonstrated by taking the inverse Gaussian process as an example. Both the simulation test and case application indicate that the study of the paper provides a more objective and reasonable technical approach to reliability evaluation based on accelerated degradation data.

关键词

可靠性评估/加速退化/加速因子/有效性辨识/逆高斯

Key words

reliability evaluation/accelerated degradation/acceleration factor/effectiveness identification/inverse Gaussian

分类

通用工业技术

引用本文复制引用

王浩伟,滕克难,盖炳良..基于加速因子不变原则的加速退化数据分析方法[J].电子学报,2018,46(3):739-747,9.

基金项目

山东省自然科学基金(No.ZR2016FQ03) (No.ZR2016FQ03)

国家自然科学基金(No.51605487) (No.51605487)

中国博士后科学基金(No.2016M592965) (No.2016M592965)

电子学报

OA北大核心CSCDCSTPCD

0372-2112

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