自动化学报2017，Vol.43Issue(10)：1789-1798,10.DOI:10.16383/j.aas.2017.c160509
双时间尺度下的设备随机退化建模与剩余寿命预测方法
Degradation Modeling and Remaining Useful Life Prediction with Bivariate Time Scale
摘要
Abstract
Degradation modeling based remaining useful life (RUL) prediction is currently a research hotspot in the field of reliability.However,almost all the existing models consider the degrading equipment with one time scale,and no particular approach has been developed for deteriorating equipment whose degradation process involves more than one time scale.To fill this gap,a bivariate-time-scale degradation model,in which the uncertain relationship between the two time scales is depicted through a stochastic proportional coefficient,is presented based on Wiener process.Under the concept of the first hitting time,a bivariate-time-scale RUL distribution is derived and its relationship with the RUL distribution under single time scale is discussed.Besides,a maximum likelihood estimation method is introduced to estimate unknown parameters using historical degradation data.A case study of degradation data from gyroscopes in an inertial platform demonstrates the effectiveness of the proposed method.关键词
退化建模/剩余寿命预测/双时间尺度/Wiener过程/首达时间Key words
Degradation modeling/remaining useful life (RUL)/bivariate time scale/Wiener process/first hitting time引用本文复制引用
张正新,胡昌华,司小胜,张伟..双时间尺度下的设备随机退化建模与剩余寿命预测方法[J].自动化学报,2017,43(10):1789-1798,10.基金项目
国家自然科学基金(61773386,61374126,61473094,61573365,61573366),中国科协青年人才托举工程(2016QNRC001),陕西省自然科学基金(2015JQ6235)资助 （61773386,61374126,61473094,61573365,61573366）
Supported by National Natural Science Foundation of China(61773386,61374126,61473094,61573365,61573366),Young Elite Scientists Sponsorship Program of China Association for Science and Technology (2016QNRC001),and Nature Science Foundation of Shaanxi Province (2015JQ6235) （61773386,61374126,61473094,61573365,61573366）
