Prognostics and Health Management for Rail Wagon Bearings Based on Imperfect Acoustic Information
In this paper we develop and discuss a prognostics model to estimate the Mean Residual Life of Rail Wagon Bearings within certain confidence intervals. The prognostics model is constructed using a Proportional Hazards Model approach informed by imperfect data from a bearing acoustic monitoring system and related failure database. We have been able to predict failure within a defined maintenance planning window from the receipt of the latest acoustic condition monitoring information. We use the model to decide whether to replace a bearing or leave it until collection of the next condition monitoring indicators. The model is tested on a limited number of cases and demonstrates good predictive capability. Opportunities to improve the performance of the model are identified.
prognostics condition monitoring condition based maintenance proportional hazards model imperfect information acoustic monitoring
Alireza GHASEMI Melinda R. HODKIEWICZ
Industrial Engineering Department Dalhousie University 5269 Morris Street Halifax, Nova Scotia, Cana Mechanical Engineering University of Western Australia,M050, Crawley, Australia
国际会议
西安
英文
501-506
2011-06-17（万方平台首次上网日期，不代表论文的发表时间）