Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Mechanical Strength》 2006-05
Add to Favorite Get Latest Update

DISCRIMINANT APPROACH TO THE MACHINERY OR SENSOR FAULT BASED ON THE K-L DIVERGENCE

ZHANG JiaFan~(1,2) HUANG ZhiChu~(2) (1.Department of Mechanical Engineering,Wuhan Polytechnic University, Wuhan 430023,China) (2.School of Mechanical and Electrical Engineering,Wuhan University of Technology,Wuhan 430070,China)  
It is usually the case for a mechanical fault diagnosis system to configure two sensors in the same monitoring position.The two sensors' output signals are used to estimate their respective probability density using kernel density estimation method,and then the K-L(Kullback-Leiber) divergence between two output signals is calculated.A discriminating approach of machinery or sensor faults is proposed based on the K-L divergence.Through evaluating real vibration signals measured on a gearbox and some simulated sensor fault signals,it is shown that contrasted to the K-L divergence between two sensors' output signals with fault-free condition,the K-L divergence decreases significantly when a progressed pitting in gears occurs;while it increases significantly when one of two sensors shows some faults.Therefore,the K-L divergence could be an index to distinguish between machinery and sensor faults.
【CateGory Index】: TP212;TH17
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved