Remaining useful life prediction based on multi source information with considering random effects

被引：0
|
作者：
Wang F. [1 ]
Tang S. [1 ]
Sun X. [2 ]
Qi S. [3 ]
Yu C. [1 ]
Si X. [1 ]
机构：
[1] Missile Engineering College, Rocket Force University of Engineering, Xi’an
[2] Operational Support College, Rocket Force University of Engineering, Xi’an
[3] Military Representative Office of Rocket Force Equipment Department in Zhengzhou, Zhengzhou
来源：
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2023年 / 49卷 / 11期
基金：
中国国家自然科学基金;
关键词：
multi source information fusion; nonlinear; random effects; remaining useful life; Wiener process;
D O I：
10.13700/j.bh.1001-5965.2021.0782
中图分类号：
O211 [概率论（几率论、或然率论）];
学科分类号：
摘要：
In order to reasonably utilize the prior information of congeneric equipment and improve the accuracy of parameters estimation and remaining useful life (RUL) prediction, a RUL prediction method based on multi source information considering the random effects is proposed. A linear Wiener process considering the random effects was employed to model the degradation process of equipment. The expectation maximization (EM) algorithm was used to calculate unknown parameters in model with fusing prior degradation information and prior failure time data information. According to the nature of parameter estimation based on the Wiener process, a method based on multi source information for nonlinear Wiener process considering random effects was proposed. Laser data and fatigue crack data were used for experimental verification. The results show that compared with the method based on historical degradation data or failure time data, the proposed method can effectively improve the accuracy of parameters estimation and RUL estimation. © 2023 Beijing University of Aeronautics and Astronautics (BUAA). All rights reserved.
引用
收藏
页码：3075 / 3085
页数：10
相关论文
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