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《Sensor World》 2006-04
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Support Vector Machine For Diagnosis Of Mechanical Fault

The support vector machine(SVM) is a machine -learning algorithm based on the statistical learning theory (SLT),which has desirable classification ability even if with fewer samples. In this paper, the application of the two algorithms about one-against-one model andone-against-others model is introduced. The twin screw extruder fault diagnosis by multi-fault classifier based on SVM is mainly discussed and the retest proves that this SVM really has preferable ability of classification.
【CateGory Index】: TP18
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【References】
Chinese Journal Full-text Database 2 Hits
1 WANG Qiang1,CHEN Huan-huan1,WANG Ting2 (1.Department of Control Science and Engineering,Harbin Institute of Technology,Harbin 150001China;2.Xinjiang Time Petroleum Engineering Co.,Ltd,Karamay 834000,China);Multi-class support vector machine for fault diagnosis[J];Electric Machines and Control;2009-02
2 WANG Qing-qing1,WANG Zheng-dong1,HUANG Yan-fa2,ZHAO Xiao-hu1(1.School of Information and Electrical Engineering,China University of Mining and Technology,Xuzhou 221008,China;2.Shandong Zoucheng Dongtan Mine Coal Power,Zoucheng 273512,China);Support Vector Machine Based on Optimal Decision Tree and Use in Fault Diagnosis[J];Coal Mine Machinery;2010-06
【Citations】
Chinese Journal Full-text Database 3 Hits
1 LI Ling jun, ZHANG Zhou suo, HE Zheng jia (Xi'an Jiaotong University, Xi'an 710049, China);Research on Intelligent Classification of Mechanical Fault Based on Support Vector Machines[J];Mini-micro Systems;2004-04
2 Cao Zhitong Chen Hongping He Guoguang (Zhejiang University, Hangzhou 310028, China);Support Vector Machine for Fault Diagnosis of the Rotor Broken Bars of IM[J];Chinese Journal of Scientific Instrument;2004-06
3 HE Xue-wen~(1,2), ZHAO Hai-ming~1 (1.School of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China; 2.School of Mechanical and Electrical Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China);Support Vector Machine and Its Application to Machinery Fault Diagnosis[J];Journal of Central South University of Technology(Natural Science);2005-01
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Chinese Journal Full-text Database 3 Hits
1 Zhang Jun et al;Diesel Engine Fault Diagnosis Based on Artificial Neural Networks[J];Design and Manufacture of Diesel Engine;2002-04
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Chinese Journal Full-text Database 3 Hits
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