Wear Degree Prognostics for Slurry Pumps Using Support Vector Machines

摘要：

Wear damage on impellers is a main cause of the failure of slurry pumps.Prognostics of wear degree allows one to foresee underlying pump failures and thus implement maintenance actions preventively.In this paper, the prediction of wear degree of impellers in slurry pumps is studied.An experimental system is set up to simulate the real working conditions of slurry pumps,from which condition monitoring data and corresponding degrees of impeller damage are collected. An architecture for online prognostics of wear degree is established and an data processing algorithm based on support vector classification is also developed to ensure effective prognostics.

关键词： slurry pumps prognostics support vector machine data processing

作者: Jian Qu Chuxiong Miao Mohammad Hoscini Ming J Zuo

作者单位: Department of Mechanical Engineering,University of Alberta,Edmonton,Canada

会议类型: 国际会议

会议名称: 2009 8th International Conference on Reliability,Maintainability and Safety(第八届中国国际可靠性、维修性、安全性会议)

会议地点: 成都

会议语种:英文

页码: 940-943

在线出版日期: 2009-08-24（万方平台首次上网日期，不代表论文的发表时间）