Reliability and availability analysis of stochastic degradation systems based on bivariate Wiener processes

被引:90
|
作者
Dong, Qinglai [1 ,2 ]
Cui, Lirong [1 ]
Si, Shubin [3 ]
机构
[1] Beijing Inst Technol, Sch Management & Econ, Beijing, Peoples R China
[2] Yanan Univ, Sch Math & Comp Sci, Yanan, Shaanxi, Peoples R China
[3] Northwestern Polytech Univ, Sch Mech Engn, Xian, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Bivariate degradation; Wiener process; Periodic inspections; Instantaneous availability; Steady-state availability; PREVENTIVE MAINTENANCE; PREDICTION; PRODUCTS; REPAIR; MODEL;
D O I
10.1016/j.apm.2019.10.044
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
It is still a challenge to study the degradation mechanisms of complex systems with multiple performance characteristics. This paper develops a two-stage stochastic degradation model. The degeneration processes of two correlated performance characteristics are described by a correlated bivariate Wiener process in the first stage, in which neither of the degradation levels of performance characteristics reaches their thresholds. When one of the degradation levels of performance characteristics reaches its threshold, the system operates defectively in the second stage, and the system degradation process is described by the other performance characteristic which is modeled by a univariate Wiener process. The system fails completely when both the degradation levels of performance characteristics reach their thresholds. Explicit expressions of the system reliability and availabilities are given based on different inspection and maintenance policies. Simulation is also presented, and it shows that the analytical results and the simulation results are in good agreement. Finally, a detailed case study of the rail track geometry degradation is given to demonstrate the results obtained in the paper. (C) 2019 Elsevier Inc. All rights reserved.
引用
收藏
页码:414 / 433
页数:20
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