On Modeling Bivariate Wiener Degradation Process

被引:65
作者
Xu, Ancha [1 ]
Shen, Lijuan [2 ]
Wang, Bingxing [3 ]
Tang, Yincai [4 ]
机构
[1] Wenzhou Univ, Coll Math & Informat Sci, Wenzhou 325035, Peoples R China
[2] Natl Univ Singapore, Dept Ind Syst Engn & Management, Singapore 119077, Singapore
[3] Zhejiang Gongshang Univ, Dept Stat, Hangzhou 310018, Zhejiang, Peoples R China
[4] East China Normal Univ, Sch Stat, Shanghai 200062, Peoples R China
关键词
Bayesian analysis; bivariate degradation; data augmentation; remaining useful life (RUL); Wiener process; INVERSE GAUSSIAN PROCESS; PRODUCTS; FAILURE;
D O I
10.1109/TR.2018.2791616
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Modern products are usually designed with high reliability and have complex structures, and degradation analysis of the complex systems with two or multiple performance characteristics is still a challenge. In this paper, we propose a new bivariate degradation model based on the Wiener process. There are three main merits of the proposed model: it can describe the common factor affecting the degradation of the two performance characteristics and unit-to-unit variation simultaneously, the reliability functions of the system and the remaining useful life of the system have analytic forms, and the model parameters and the missing values can be estimated by the Bayesian method and data augmentation. The simulation study and data analysis show that the Bayesian method and the proposed model have satisfactory performance.
引用
收藏
页码:897 / 906
页数:10
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