Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Central South University of Technology(Natural Science)》 2005-01
Add to Favorite Get Latest Update

Support Vector Machine and Its Application to Machinery Fault Diagnosis

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)  
Aiming at the difficulty in getting adequate fault samples, extracting eigenvectors and acquiring diagnosis knowledge in machinery fault diagnosis, a novel method for machinery fault diagnosis based on support vector machine(SVM) was put forward, in which wavelet packet analysis and signal energy decomposition were used for the feature extraction machinery faults. According to the method, the energy of different frequency bands after wavelet packet decomposition constitutes the input vectors of support vector machine as eigenvectors, and these eigenvectors were input into multiple fault classifiers to identify faults. The new method, by which multiple faults can be diagnosed, only requires a small quantity of fault samples and it doesn’t need the field knowledge of fault diagnosis. The experimental results show that different SVM classifiers, in which different kernel functions and their parameters are adopted, will influence the precision of fault classifiers. Under the circumstances that samples don’t include noise signal and samples include 15% noise signal, the classification precision of SVM classifiers is higher than that of BP artificial neural networks. Thus SVM classifiers show better classification performance.
【CateGory Index】: TP277
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
【References】
Chinese Journal Full-text Database 10 Hits
1 LIU Pengfei,SHAN Ping,LUO Zhen(School of Materials Science and Engineering,Tianjin University,Tianjin 300072,China);Detection method of spot welding based on fractal and support vector machine[J];Transactions of the China Welding Institution;2007-12
2 LU Di,DOU Wen-juan(School of Electric and Electronic Engineering,Harbin University of Science and Technology,Harbin 150080,China);Fault Diagnosis of Engine Misfire Based on Genetic Optimized Support Vector Machine[J];Journal of Harbin University of Science and Technology;2012-01
3 HE Xuewen,FU Jing,WANG Fengsuo,SUN Lin(College of Mechanical and Electrical Engineering,Jiangxi University of Science and Technology,Ganzhou Jiangxi 341000,China);Study on Kernel Parameter Optimization for Fault Classifier Based on Fisher Discriminant Criterion[J];Machine Tool & Hydraulics;2008-11
4 XIAN Guang-ming,ZENG Bi-qing Computer Engineering Department of Nanhai Campus,South China Normal University,Foshan,Guangdong 528225,China;Multiple classification fault diagnosis hybrid model based on WPA-SVM[J];Computer Engineering and Applications;2008-24
5 TANG Hongbin 1,2,WU Yunxin 1,MA Changxun 1,GAO Ming 31.College of Mechanical and Electrical Engineering,Central South University,Changsha 410083,China 2.College of Automobile and Mechanical Engineering,Changsha University of Science and Technology,Changsha 410004,China 3.Sany Heavy Industry Co.Ltd,Changsha 410100,China;Leakage fault diagnosis of hydraulic chamber using wavelet transformation[J];Computer Engineering and Applications;2012-05
6 XIAN Guang-ming,ZENG Bi-qing,TANG Hua,XIAO Ying-wang(Department of Computer Engineering,South China Normal University,Foshan 528225);Fault Diagnosis Method Based on WPA-SVM[J];Computer Engineering;2009-04
7 Luo Bowen1 Xia Yimin2 Fan Hongliang3 Han Zhenxing4 Song Zihui5(1.Hunan University of Science and Technology;2.Central South University;3.Pingsu No.2 Coal Washeryof China National Coal Group Corp.;4.Kailluan Group Donghuantuo Mining Co.;5.Beijing Northking Technology Co.Ltd.);Eliminating the Exceptional Values of Microtopography Based on Fuzzy Support Vector Regress Algorithm[J];Metal Mine;2009-10
8 CAO Su-qun,HOU Zhi-wei,LIU Lei(Faculty of Mechanical Engineering,Huaiyin Institute of Technology,Huai'an 223003,China);A rolling bearing fault diagnosis method based on clustering[J];Machinery Design & Manufacture;2012-05
9 Cao Jianjun1,Zhang Peilin(1,2),Zhang Yingtang1,Ren Guoquan1 (1Department of Artillery Engineering,Mechanical Engineering College,Shijiazhuang 050003;2College of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing 210094);Feature Extraction and Optimal Selection Algorithm of the Vibration Signal of an Engine Cylinder Head[J];Mechanical Science and Technology for Aerospace Engineering;2008-09
10 WANG Jie-sheng1,2,GAO Xian-wen2,ZHANG Yong1(1.School of Electronic and Information Engineering,Liaoning University Science and Technology,Anshan 114044,China;2.College of Information Science and Engineering,Northeastern University,Shenyang 110819,China);Research on recognizing flotation states based on image texture features and multi-layer SVMs[J];Control and Decision;2010-10
China Proceedings of conference Full-text Database 2 Hits
1 Cai Lei Zhu Yongsheng (Department of Mechanical Engineering,Xi'an Jiaotong University,Xi'an,710049);OBIT IMAGE RECOGNITION BASED ON THE SPARSE NON-NEGATIVE MATRIX FATORIZATION AND SUPPORT VECTOR MACHINE[A];[C];2008
2 DAI Lin-chao,WU Lin-li,ZHAO Hai-na,LI Xun-ming (School of Electrical Engineering,Hohai University,Nanjing 210098,China);Error prediction based on least squares support vector machines[A];[C];2009
【Citations】
Chinese Journal Full-text Database 4 Hits
1 JING Shuang-xi,LENG Jun-fa,LI Zhen (Machine Monitoring and Fault Diagnosis Research Institute of J ZIT,Jiaozuo 454000,China);Study on the extraction method of mechanical fault symptom based on wavelet packet analysis[J];Coal Mine Machinery;2003-03
2 ZHANG Xuegong (Dept.of Automation,Tsinghua University,Beijing 100084) (State Key Laboratory of Intelligent Technology and Systems of China);INTRODUCTION TO STATISTICAL LEARNING THEORY AND SUPPORT VECTOR MACHINES[J];;2000-01
3 Zhou Xiaokai; Yan Puqiang (Department of Precision Instruments and Mechanology, Tsinghua University);New method of diagnosis of railway roller bearing based on the wavelet analysis[J];;1996-08
4 QIN Xuan yun 1,PU Ying yong 2 (1 Department of Applied Mathematics and Applied Software, Central South University, Changsha 410083, China; 2 College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China);Signal detection and fault diagnosis based on wavelet transform[J];Journal of Central South University of Technology(Natural Science);2002-04
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 Zhang Hongjie,Li Yafeng,Hou Yanyan (Schoole Mechanical and Electronic Engineering,Tianjin Polytechnic University,Tianjin 300160,China; Hebei College of Administration ,Shijiazhuang 050031,Hebei,China).;On-line quality inspection of spot welding based on support vector machine[J];Welding & Joining;2007-10
2 GU Jing-pei,LIANG Ping(South China University of Technology,GuangZhou 510640,China);Diagnosis of Turbine Rotor Vibration Faults Based on Wavelet Packet Analysis and Artificial Immunity[J];Hubei Electric Power;2009-01
3 WANG Guo-peng, ZHAI Yong-jie, FENG Guan-bin, WANG Dong-feng (Department of Power Engineering, North China Electric Power University, Baoding071003, China; Guohua Dingzhou Electric Power Generation Co. Ltd., Dingzhou 073000, China);Application of fuzzy support vector machines for fault diagnosis of turbogenerator unit[J];Journal of North China Electric Power University;2003-04
4 ZHAI Yong-jie, MAO Ji-pei, YU Li-min, LIU Chang-liang (Department of Power Engineering, North China Electric Power University, Baoding071003, China; Xibaipo Electrical Power Plant, Pingshan 050400, China);Application of hierarchical clustering support vector machine in turbogenerator fault diagnosis[J];Journal of North China Electric Power University;2003-06
5 ZHANG Xiao-qia,ZHU Yong-lia,WANG Fangb(a.School of Electrical Engineering;b.School of Computer Science and Technology,North China Electric Power University,Baoding 071003,China;Predicting model for dissolved gas in transformer oil based on support vector machines[J];;2006-06
6 HAO Zu-long1,LIU Ji-zhen1,TIAN Liang2(1.School of Control Science and Engineering,North China Electric Power University,Beijing 102206,China;2.School of Control Science and Engineering,North China Electric Power University,Baoding 071003,China);Research on judging of combustion stability for utility boiler based on Support Vector Machines[J];Journal of North China Electric Power University;2007-04
7 ZHAI Yong-jie,WANG Zi-jie,HUANG Bao-hai,LI Hai-li(School of Control Science and Engineering,North China Electric Power University,Baoding 071003,China);Research and application of SMO algorithm based on PSO optimization[J];Journal of North China Electric Power University(Natural Science Edition);2008-01
8 ZHAO Zhen-dong1,HU Xi-mei1,TIAN Jing-feng2(1.School of Electrical and Electronic Engineering,North China Electric Power University,Baoding 071003,China;2.Science and Technology College,Baoding 071051,China);Speaker recognition based on VQ-SVM[J];Journal of North China Electric Power University(Natural Science Edition);2009-05
9 YANG Chao-dong,GAO Meng ( School of Electric Engineering, Shijiazhuang Railway Institute , Shijiazhuang Hebei 050043, China);Pattern recognition based on support vector machine[J];Journal of The Hebei Academy of Sciences;2005-01
10 LI Xiao-dong(Henan University of Science and Technology,Luoyang Henan 471003,China);Application of the Grey Relational Analysis and Support Vector Machine for Forecast of China Grain Production[J];Journal of Hebei Polytechnic University(Natural Science Edition);2008-04
China Proceedings of conference Full-text Database 10 Hits
1 Song Haiying ,Gui Weihua ,Yang Chunhua School of Information Science and Engineering,Central South University,Changsha,410083,P.R.China;Reduced Least Squares Support Vector Based on Kernel Partial Least Squares and Its Application Research[A];[C];2007
2 Gu Xiaojun1,2,Yang Shixi1,Qian Suxiang2 1.College of Mechanical and Energy Engineering,Zhejiang University,Hangzhou,310027,P.R.China2.College of Mechanical Engineering,Jiaxing University,Jiaxing,China,314001,P.R.China;On Rotary Machine's Multi-Class Fault Recognition Based on SVM[A];[C];2007
3 Lv Peng1,Liu Yibing2,Ma Qiang2,Wei Yufan2 1.School of Mathematics and Physics,North China Electric Power University,Beijing 102206,P.R.China2.Department of automatics,North China Electric Power University,Beijing 102206,P.R.China;Gear Intelligent Fault Diagnosis Based on Support Vector Machines[A];[C];2007
4 Jiang Minghui,Yuan Xuchuan School of Management,Harbin Institute of Technology,Harbin 150001,P.R.China;Personal Credit Scoring Model Based on SVM Optimized by GA[A];[C];2007
5 Han Lu 1,Yu Zhengtao 1,2,Deng Jinhui 1,Zhang Cheng 1,Mao Cunli 2,Guo Jianyi 1,2 1.The School of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650051,P.R.China 2.The Institute of Intelligent Information Processing,Computer Technology Application Key Laboratory of Yunnan Province,Kunming 650051,P.R.China;The Effects of Domain Knowledge Relations on Domain Text Classification[A];[C];2008
6 WU Jingzhu,LIU Cuiling,SUN Xiaorong 1.School of Computer Science and Information Engineering,Beijing Technology and Business University,Beijing 100048,P.R.China;Application of Support Vector Machines in Detection Technology Based on Near Infrared Spectroscopy[A];[C];2010
7 YIN Zhong,ZHANG Jianhua~* Department of Automation,East China University of Science and Technology,Shanghai 200237,P.R.China;Support Vector Machine Approaches to Classifying Operator Functional State in Human-Machine System[A];[C];2011
8 YANG Kun,JI Zhicheng Institute of Electrical Automation,Jiangnan University,Wuxi 214122,P.R.China;An Improved SVM-based Model with Peak Recognition for Electricity Demand Forecasting[A];[C];2011
9 JIN Chaobu~1,HU Gangqiang~2,SHI Guangzhi~1,LI Yuyang~1 (1.Navy Submarine Academy Qingdao 266071,China; 2.92815 Army of PLA,Ningbo 315717,China);A underwater target recognition method using the support vector machines[A];[C];2011
10 Lu Yao,Hu Xiong;Correlation Analysis between Vibration and Temperature of the Motor on the Crane[A];[C];2011
【Co-references】
Chinese Journal Full-text Database 10 Hits
1 WAN Shu-ting, LI He-ming, LI Yong-gang (Department of Mechanical Engineering, North China Electric Power University, Baoding 071003, China; Department of Electric Power Engineering, North China Electric Power University, Baoding 071003, China);Study of adaptive neural network for fault diagnosis of steam-turbine generator unit[J];Journal of North China Electric Power University;2002-02
2 ZHAI Yong-jie, MAO Ji-pei, YU Li-min, LIU Chang-liang (Department of Power Engineering, North China Electric Power University, Baoding071003, China; Xibaipo Electrical Power Plant, Pingshan 050400, China);Application of hierarchical clustering support vector machine in turbogenerator fault diagnosis[J];Journal of North China Electric Power University;2003-06
3 ZHANG Ping-ping, YAO Wan-ye, YANG Ming-yu, WANG Zheng-ying (Department of Power Engineering, North Chka Electric Power University, Baoding 071003, China);Fault diagnosis of generator vibration based on improved BP algorithm[J];Journal of North China Electric Power University;2003-06
4 HUA Bin,ZHOU Jian-zhong,YU Jing(Simulated Center of Comprehensive Studies of Hydroelectric Energy,Huazhong University of Science and Technology,Wuhan 430074,China);Application of Bayesian Networks in fault diagnosis of hydroelectric unit[J];Journal of North China Electric Power University;2004-05
5 WANG Xue-hou,ZHANG Nan,DONG Ze(School of Control Science and Engineering,North China Electric Power University,Baoding 071003,China);Turbine vibration fault diagnosis based on fuzzy clustering analysis[J];Journal of North China Electric Power University(Natural Science Edition);2008-02
6 WANG Zhong-min1,DAI Shi-jie2 ,YUE Hong1,CAI He-gao2( 1 Research Institute of Robotics and Automation, Hebei University of Technology, TianJin 300130,China; 2 School of Mechanical Engineering,Harbin Institute of Technology, Harbin 150001,China );Signal Denoising Based on the Wavelet Transform[J];JOURNAL OF HEBEI UNIVERSITY OF TECHNOLOGY;2000-05
7 CUI Yan-ping~(1,2),FU Qi-feng~1,GE Xing-wei~3,LIU Yu-qiu~2 (1.College of Mechanical and Electronic Engineering,Hebei University of Science and Technology,Shijiazhuang Hebei 050054,China;2.Department of Mechanical Engineering,North China Electric Power University,Baoding Hebei 071003,China;3.Department of Mechanical Engineering,Hebei University of Technology,Tianjin 300130,China);The Usual Methods of Fault Diagnosis and Monitoring for Mechanical Equipment and Its Development Trend[J];Hebei Journal of Industrial Science & Technaology;2004-04
8 ZHAO Ling-ling~1,YANG Kui-he~(1,2),REN Xiao-peng~3,SHAN Gan-lin~2 (1.College of Information Science and Engineering,Hebei University of Science and Technology,Shijiazhuang Hebei 050054,China;2.Department of Optics and Electron Engineering,Ordnance Engineering College,Shijiazhuang Hebei 050003,China;3.Computer Departement,Shijiazhuang Vocational Technology Institute,Shijiazhuang Hebei 050081,China);Application of support vector machine in machinery fault diagnosis[J];Hebei Journal of Industrial Science and Technology;2007-01
9 CHEN De-xin, YAN Shui-bao, ZHOU Bing (Dept.of Power Engineering,North China Institute of Water Conservancy and Hydroelectric Power, Zhengzhou 450045,China);The vibration testing and analysis of axial-flow adjustable-blade water turbine generating unit[J];JOURNAL OF NORTH CHINA INSTITUTE OF WATER CONSERVANCY AND HYDROELECTRIC POWER;2000-02
10 QIN Jian_ming, ZOU Shu_yun, CHEN De_xin (North China Institute of Water Conservancy and Hydroeletric Power, Zhengzhou 450011, China);Study of Vibration Monitoring and Analysis System for Hydropower Generating Units[J];Journal of North China Institute of Water Conservancy and Hydroelectric Power;2004-02
China Proceedings of conference Full-text Database 1 Hits
1 XIA Hong~1,DU Xing-fu~(1.2),ZHANG Nan~1 (1.College of nuclear science and technology,Harbin Engineering University,Harbin of Heilongjiang Prov.150001,China; 2.China Guangdong Nuclear Power Holding Co.,LTD,Shenzhen of Guangdong Prov.518031,China);Study on fault diagnosis technology based on support vector machine[A];[C];2009
【Secondary References】
Chinese Journal Full-text Database 10 Hits
1 Lü Xiaoqing1,Lin Jianping1,Cao Biao2,Zeng Min2,Huang Shisheng2(1.Tongji University,Shanghai 200092,China;2.South China University of Technology,Guangzhou 510640,China);Current research and developing trends of chaos theory in welding[J];Welding & Joining;2008-08
2 WANG Li-jing1,XI Tao2,SUN Li-ying1(1.Department of Energy and Mechanical Engineering,Tianjin Institute of Urban Construction,Tianjin 300384,China;2.School of Mechanical and Electronic,Tianjin Polytechnic University,Tianjin 300160,China);Study fault diagnosis of gear based on the fusion model[J];Journal of Hebei University of Technology;2011-03
3 YAN Xiaocheng,LI Zhiyong,GUO Yong,LI Yan(Welding Research Center North Univevsity of China,Taiyuan 030051,China);Correlation dimension analysis of current in GMAW welding[J];Transactions of the China Welding Institution;2012-05
4 Li Jianbao Peng Tao(School of Electrical and Information Engineering,Hunan Universityof Technology,Zhuzhou 412008,Hunan China);Fault diagnosis of rolling bearing based on AR model and KFDA[J];Journal of Huazhong University of Science and Technology(Nature Science Edition);2009-S1
5 JIA Rong1,ZHANG Yun2,HONG Gang3 (1. Institute of Water Resources and Hydropower Engineering,Xi'an University of Technology,Xi'an 710048,China; 2. Hydro China Xibei Engineering Corporation,Xi'an 710056,China; 3. Guangxi Power Grid Beihai Power Supply Bureau,Beihai 536000,China);Parameter optimization of least squares support vector machine based on improved particle swarm optimization in fault diagnosis of transformer[J];Power System Protection and Control;2010-17
6 ZHANG Xiao-yuan,ZHOU Jian-zhong,WANG Chang-qing,LI Chao-shun(School of Hydropower and Information Engineering,Huazhong University of Science and Technology, Wuhan 430074,China);Vibrant fault diagnosis for hydroelectric generator unit considering overlapping fault patterns[J];Power System Protection and Control;2012-03
7 LI Gang-cheng(Hunan College of Information,Wangcheng,Hunan,410200,China);Fault Diagnosis of Rolling Bearing Based on Parameter Model of Time-Series and Fisher Discriminant Analysis[J];Journal of Jingchu University of Technology;2009-07
8 LU Qing,FENG Jin-fu,LI Qian,ZHONG Yong-bing Engineering Institute of Air Force Engineering University,Xi’an 710038,China;New algorithm for Semi-Fuzzy C-Means clustering and its application on fault diagnosis[J];Computer Engineering and Applications;2007-35
9 FENG Zhi-hong,LIN Zhi-gui,FANG Wei,WANG Wei,XIAO Zhi-tao College of Information and Communication Engineering,Tianjin Polytechnic University,Tianjin 300160,China;System design and development of circuit fault diagnosis based on infor-mation fusion[J];Computer Engineering and Applications;2009-02
10 LV Cheng-ling,PENG Li,ZHANG Li-weiSchool of Communication and Control Engineering,Jiangnan University,Wuxi,Jiangsu 214122,China;Method of fault diagnosis based on fast feature selection[J];Computer Engineering and Applications;2010-14
China Proceedings of conference Full-text Database 5 Hits
1 Xiaoping Ma,Xiaobin Wei,Fengshuan An,Peizhao Su School of Information and Electrical Engineer,China University of Mining and Technology,Xuzhou Jiangsu,221008;Bearing Fault Diagnosis Based on Negative Selection Algorithm of Feature Extraction and Neural Network[A];[C];2010
2 Zhu Yongsheng~1,Yang Yongsheng~1,Cai Lei~1,Zhang Youyun~1 (1.Theory of Lubrication and Bearing Institute,Xi'an Jiaotong University,Xi'an,710049);CONDITION RECOGNIZATION OF MECHANICAL EQUIPMENTS BASED ON HIGH-DIMENSIONAL INFORMATION[A];[C];2010
3 ZENG Jianghui, ZENG Fengzhang,CHEN Songhui (School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China; China Aerospace Times Electronics Corporation, Beijing, 100070);A Study on Threshold of Mahalanobis-Taguchi System Based on Support Vector Machine[A];CHINA ASSOCIATION FOR QUALITY[C];2008
4 Yang Bao, Zhu Qibing, Huang Min Key Laboratory Of Advanced Process Control For Light Industry (Ministry Of Education), Jiangnan University, Wuxi 214122;Image Identification of Glass Defects Based on Non-negative Matrix Factorization and Sparse Representation Classification[A];[C];2012
5 DING Guojun,WANG Lide,SHEN Ping,LIU Biao (School of Electrical Engineering,Beijing Jiaotong University,Beijing 100044,China);Analog circuit soft fault diagnosis based on LSSVM optimized by improved PSO[A];[C];2013
【Secondary Citations】
Chinese Journal Full-text Database 1 Hits
1 LU Zengxiang, LI Yanda Department of Automation, Tsinghua University, Beijing 100084, China;Interactive support vector machine learning algorithm and its application[J];JOURNAL OF TSINGHUA UNIVERSITY(SCIENCE AND TECHNOLOGY);1999-07
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved