Robust Remaining Useful Life Estimation Based on an Improved Unscented Kalman Filtering Method

作     者：Shenkun Zhao Chao Jiang Zhe Zhang Xiangyun Long 

作者机构：State Key Laboratory of Advanced Design and Manufacturing for Vehicle BodyCollege of Mechanical and Vehicle EngineeringHunan UniversityChangsha410082China 

出 版 物：《Computer Modeling in Engineering & Sciences》 (工程与科学中的计算机建模（英文）)

年 卷 期：2020年第123卷第6期

页      面：1151-1173页

核心收录：

学科分类：080902[工学-电路与系统] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Key R&D Program of China(Grant No.2018YFB1701400) the National Science Fund for Distinguished Young Scholars(Grant No.51725502) the Foundation for Innovative Research Groups of the National Natural Science Foundation of China(Grant No.51621004) 

主　　题：Remaining useful life unscented Kalman filtering state space model 

摘      要：In the Prognostics and Health Management(PHM),remaining useful life(RUL)is very important and utilized to ensure the reliability and safety of the operation of complex mechanical ***,unscented Kalman filtering(UKF)has been applied widely in the RUL *** a degradation system,the relationship between its monitored measurements and its degradation states is assumed to be nonlinear in the conventional ***,in some special degradation systems,their monitored measurements have a linear relation with their degradation *** these special problems,it may bring estimation errors to use the UKF method ***,many uncertain factors can result in the fluctuations of the estimated results,which may have a bad influence on the RUL estimation *** a result,a robust RUL estimation approach is proposed in this paper to reduce the errors and randomness of estimation results for this kind of degradation ***,an improved unscented Kalman filtering is established utilizing the Kalman filtering(KF)method and a linear adaptive *** linear adaptive strategy is used to adjust its noise term ***,the robust RUL estimation is realized by the improved *** last,three problems are investigated to demonstrate the effectiveness of the proposed method.