A reliability estimation method based on two-phase Wiener process with evidential variable using two types of testing data

被引:3
作者
Shi, Jian [1 ,2 ]
Qiao, Yajing [1 ,2 ]
Wang, Shaoping [1 ]
Cui, Xiaoyu [3 ]
Liu, Di [1 ,2 ,4 ]
机构
[1] Beihang Univ, Sch Automation Sci & Elect Engn, Beijing 100191, Peoples R China
[2] Zhejiang Univ, State Key Lab Fluid Power & Mechatron Syst, Hangzhou, Peoples R China
[3] Beijing Technol & Business Univ, Sch Artificial Intelligence, Beijing, Peoples R China
[4] Beihang Univ, Ningbo Inst Technol, Ningbo, Peoples R China
基金
中国国家自然科学基金;
关键词
degradation modeling; evidence variable; reliability estimation; two-phase; Wiener process; INVERSE GAUSSIAN PROCESS; DEGRADATION; MODEL; FAILURE; GAMMA; SYSTEMS;
D O I
10.1002/qre.3234
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The evidential variable shows the powerful ability on the parameter description, so we have cooperated it with the linear Wiener process to model linear degradation processes. However, the degradation paths of some products exhibit two-phase patterns over the running time, which cannot be modeled by the linear Wiener process. Hence, it is developed into an associated evidential variable-based two-phase Wiener process. In order to utilize the proposed model, the related evidence obtaining, evidence fusion and performance inference approaches are constructed. A simulation study and an actual case are performed to verify the superiorities of the proposed method. The proposed method provides higher accuracies of the useful life, degradation, and reliability evaluations, due to utilizing the evidential variable and considering the two-phase degradation conditions.
引用
收藏
页码:229 / 243
页数:15
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