Integrated Equipment Health Prognosis Considering Crack Initiation Time Uncertainty and Random Shock  

作　　者：Fu-Qiong Zhao Ming-Jiang Xie Zhi-Gang Tian Yong Zeng 

机构地区：[1]Department of Mechanical Engineering, University of Alberta, Edmonton T6G 2G8, Canada [2]Concordia Institute for Information Systems Engineering,Concordia University, Montreal H3G 2Wl, Canada

出　　处：《Chinese Journal of Mechanical Engineering》2017年第6期1383-1395,共13页中国机械工程学报（英文版）

基　　金：Supported by Natural Sciences and Engineering Research Council of Canada(NSERC)

摘　　要：With integrated equipment health prognosis, both physical models and condition monitoring data are utilized to achieve more accurate prediction of equipment remaining useful life （RUL）. In this paper, an integrated prognostics method is proposed to account for two important factors which were not considered before, the uncertainty in crack initiation time （CIT） and the shock in the degradation. Prognostics tools are used for RUL pre- diction starting from the CIT. However, there is uncertainty in CIT due to the limited capability of existing fault detection tools, and such uncertainty has not been explic- itly considered in the literature for integrated prognosis. A shock causes a sudden damage increase and creates a jump in the degradation path, which shortens the total lifetime, and it has not been considered before in the integrated prognostics framework either. In the proposed integrated prognostics method, CIT is considered as an uncertain parameter, which is updated using condition monitoring data. To deal with the sudden damage increase and reduction of total lifetime, a virtual gradual degradation path with an earlier CIT is introduced in the proposed method. In this way, the effect of shock is captured through identifying an appropriate CIT. Examples of gear prog- nostics are given to demonstrate the effectiveness of the proposed method.With integrated equipment health prognosis, both physical models and condition monitoring data are utilized to achieve more accurate prediction of equipment remaining useful life （RUL）. In this paper, an integrated prognostics method is proposed to account for two important factors which were not considered before, the uncertainty in crack initiation time （CIT） and the shock in the degradation. Prognostics tools are used for RUL pre- diction starting from the CIT. However, there is uncertainty in CIT due to the limited capability of existing fault detection tools, and such uncertainty has not been explic- itly considered in the literature for integrated prognosis. A shock causes a sudden damage increase and creates a jump in the degradation path, which shortens the total lifetime, and it has not been considered before in the integrated prognostics framework either. In the proposed integrated prognostics method, CIT is considered as an uncertain parameter, which is updated using condition monitoring data. To deal with the sudden damage increase and reduction of total lifetime, a virtual gradual degradation path with an earlier CIT is introduced in the proposed method. In this way, the effect of shock is captured through identifying an appropriate CIT. Examples of gear prog- nostics are given to demonstrate the effectiveness of the proposed method.

关 键 词：Crack initiation time Shock Uncertaintyquantification Integrated prognostics Failure timeprediction Bayesian inference GEARS Fatigue crack 

分 类 号：TH17[机械工程—机械制造及自动化]