Methods for predicting the remaining useful life of equipment in consideration of the random failure threshold  

作　　者：WANG Zezhou CHEN Yunxiang CAI Zhongyi GAO Yangjun WANG Lili 

机构地区：[1]Equipment Management&UAV Engineering College,Air Force Engineering University,Xi’an 710051,China

出　　处：《Journal of Systems Engineering and Electronics》2020年第2期415-431,共17页系统工程与电子技术（英文版）

基　　金：supported by the China Postdoctoral Science Foundation(2017M623415)。

摘　　要：The value range of the failure threshold will generate an uncertain influence on the prediction results for the remaining useful life(RUL) of equipment. Most of the existing studies on the RUL prediction assume that the failure threshold is a fixed value,as they have difficulty in reflecting the random variation of the failure threshold. In connection with the inadequacies of the existing research, an in-depth analysis is carried out to study the effect of the random failure threshold(RFT) on the prediction results for the RUL. First, a nonlinear degradation model with unit-to-unit variability and measurement error is established based on the nonlinear Wiener process. Second, the expectation-maximization(EM) algorithm is used to solve the estimated values of the parameters of the prior degradation model, and the Bayesian method is used to iteratively update the posterior distribution of the random coefficients. Then, the effects of three types of RFT constraint conditions on the prediction results for the RUL are analyzed, and the probability density function(PDF) of the RUL is derived. Finally,the degradation data of aero-turbofan engines are used to verify the correctness and advantages of the method.

关 键 词：REMAINING useful life(RUL)prediction random failure threshold(RFT) nonlinear WIENER process measurement error unit-to-unit VARIABILITY 

分 类 号：TB114.3[理学—概率论与数理统计]