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Application of a Novel Method for Machine Performance Degradation Assessment Based on Gaussian Mixture Model and Logistic Regression
Authors:LIU Wenbin    ZHONG Xin  LEE Jay  LIAO Linxia   ZHOU Min Chemical Safety Engineering Research Center of Ministry of Education  Beijing University of Chemical Technology  Beijing   China The First Research Institute of Ministry of Public Security  Beijing   China National Science Foundation Industry/University Cooperative Research Center of Intelligent Maintenance Systems  University of Cincinnati  Cincinnati OH   USA China National Petroleum Corporation  Beijing   China
Affiliation:LIU Wenbin1,*,ZHONG Xin2,LEE Jay3,LIAO Linxia3,and ZHOU Min4 1 Chemical Safety Engineering Research Center of Ministry of Education,Beijing University of Chemical Technology,Beijing 100029,China 2 The First Research Institute of Ministry of Public Security,Beijing 100048,China 3 National Science Foundation Industry/University Cooperative Research Center of Intelligent Maintenance Systems,University of Cincinnati,Cincinnati OH 45221,USA 4 China National Petroleum Corporation,Beijing 100007,China
Abstract:The currently prevalent machine performance degradation assessment techniques involve estimating a machine's current condition based upon the recognition of indications of failure features,which entail complete data collected in different conditions.However,failure data are always hard to acquire,thus making those techniques hard to be applied.In this paper,a novel method which does not need failure history data is introduced.Wavelet packet decomposition(WPD) is used to extract features from raw signals,pri...
Keywords:performance degradation assessment  Gaussian mixture model  logistic regression  proactive maintenance  sensor fusion  
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