引用本文: 郑龙,杜永浩,邢立宁,等.基于退化数据与marker数据综合的产品可靠性建模分析[J].控制与决策,2020,35(2):461-468
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 本文已被：浏览次   下载次 码上扫一扫！ 分享到： 微信 更多 字体:加大+|默认|缩小- 基于退化数据与marker数据综合的产品可靠性建模分析 郑龙1, 杜永浩2, 邢立宁2, 彭宝华2, 周忠宝1, 文龙3 (1. 湖南大学工商管理学院，长沙410082;2. 国防科技大学系统工程学院，长沙410073;3. 西安卫星测控中心地面网管理中心，西安710043)

DOI：10.13195/j.kzyjc.2018.0595

Product reliability modeling and analysis using degradation and marker data
ZHENG Long1,DU Yong-hao2,XING Li-ning2,PENG Bao-hua2,ZHOU Zhong-bao1,WEN Long3
(1. Business School,Hunan University,Changsha410082,China;2. College of Systems Engineering,National University of Defense Technology,Changsha410073,China;3. Ground Station Network Management Center,Xián Satellite Monitoring and Control Center,Xián710043,China)
Abstract:
The method of reliability modeling and analysis based on performance degradation data provides an important way for the reliability research of long life and high reliability products in modern industry, but the degradation data cannot be obtained adequately during a destructive inspection. To solve this problem, this paper proposes to use both degradation data and marker data to make reliability inference, which can improve the precision of reliability inference, and make residual lifetime distribution prediction available through inspection of marker during working, contributing to the decision making in maintenance, replacement and spare parts. The performance degradation and marker are modeled with a bivariate Wiener process and, the methods for parameter estimation and residual lifetime distribution prediction are provided. Finally, a simulated example is presented to show the effectiveness of the proposed method.
Key words: