Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Coal Science and Technology》 2014-12
Add to Favorite Get Latest Update

Study on Bearing Fault Diagnosis of Ranging Boom in Coal Shearer Based on Vibration Signal Analysis

QIAN Pei-yue;CHEN Xi-hui;HU Xiao;CHENG Gang;School of Electromechanical Engineering,China University of Mining and Technology;Shanghai Branch,Tiandi Science and Technology Company Limited;  
According to frequent bearing faults occurred in the ranging boom of the coal shearer and seriously affected to the present safety production status of the coal mining face,the bearing fault diagnosis of the ranging boom in the coal shearer was conducted based the vibration signals analysis. In order to correctly distinguish the bearing fault of the ranging boom,the integrated empirical mode decomposition method was applied to explain the original vibration signals. The percentage of the first eight intrinsic mode functions energy in the total signal energy was selected as the fault feature information and then inputted to the support vector machine for the fault mode distinguishment. The experiment results showed that the combined integrated empirical mode decomposition and the fault diagnosis method of the support vector machine could be suitable to process the unstable and nonlinear vibration signals occurred from the bearing in the ranging boom of the coal shearer. The total fault distinguishing rate was 88. 33% and a correct diagnosis of the bearing fault could be realized.
【Fund】: 国家高技术研究发展计划(863计划)资助项目(2012AA06A406)
【CateGory Index】: TD421.6
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
Chinese Journal Full-text Database 10 Hits
1 GAO Li-xin,WU Li-juan,ZHANG Jian-yu(Key Laboratory of Advanced Manufacturing Technology,Beijing University of Technology,Beijing 100124,China);An Application in Gear Incipient Failure Diagnosis Based on EMD Demodulation Method[J];Journal of Beijing University of Technology;2009-07
2 Dong Wenzhi1,Zhang Chao2(1Shenhua Baotou Mining Industry Limited Liability Company,Baotou 014010; 2School of Information Engineering University of Science and Technology of the Inner Mongol,Baotou 014010);Fault Diagnosis for Rotor Systems Based on Wavelet Transform and EEMD[J];Mechanical Science and Technology for Aerospace Engineering;2012-06
3 CEN Jian(Maoming College,Maoming 525000,China);Fault Detection of Electro-drawing Mining Machine Based on Wavelet Neural Networks[J];Coal Mine Machinery;2006-04
4 HU Jun,ZHANG Shi-hong,WANG Chong-jian(Shanghai Branck,China Coal Research Institute,Shanghai 200030,China);Diagnosis of Shearer Faults and Development Trend[J];Coal Mine Machinery;2008-09
5 LING Liu-yi,HUANG You-rui(School of Electric and Information Engineering,Anhui University of Science and Technology,Huainan 232001,China);Fault diagnosis of mine ventilator base on multi sensor information integration[J];Coal Science and Technology;2008-06
6 Feng Huizong;Peng Dan;Yuan Rongdi;Automotive Electronics and Embedded Systems Engineering R&D Center,Chongqing University of Posts and Telecommunications;;Research on Automobile Engine Fault Diagnosis Based on PSO- SVM[J];Computer Measurement & Control;2014-02
7 WANG Feng;HE Feng-you;TAN Guo-jun;Department of Information and Electrical,Xuzhou Institute of Technology;School of Information and Electrical Engineering,China University of Mining and Technology;;Study on Adaptive Neuro- fuzzy Fault Diagnosis Strategy of Mine Hoist[J];Coal Science and Technology;2014-02
8 Yu Dejie Zhang Wei Cheng Junsheng Yang YuHunan UniversityChangsha 410082;APPLICATION OF TIME-FREQUENCY ENTROPY TO GEAR FAULT DIAGNOSIS BASED ON EMD[J];Journal of Vibration and Shock;2005-05
9 YUAN Sheng-fa1,2, CHU Fu-lei1(1. Department of Precision Instruments and Mechanology, Tsinghua University, Beijing 100084, China;2. School of Mechanical & Electrical Engineering, Jiangxi University of Science and Technology, Jiangxi 341000, China);SUPPORT VECTOR MACHINES AND ITS APPLICATIONS IN MACHINE FAULT DIAGNOSIS[J];Journal of Vibration and Shock;2007-11
10 JIANG Ling-li1,2,LIU Yi-lun1,LI Xue-jun2,CHEN An-hua2 (1.School of Mechanical and Electrical Engineering,Central South University,Changsha 410083,China; 2.Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology,Xiangtan 411201,China);Gear fault diagnosis based on SVM and multi-sensor information fusion[J];Journal of Central South University(Science and Technology);2010-06
Chinese Journal Full-text Database 10 Hits
1 HUANG Jin-ying1,2,PAN Hong-xia1,BI Shi-hua2,CUI Bao-zhen1(1.School of Mechanical Engineering and Automation,North University of China,Taiyuan 030051,Shanxi,China; 2.School of Aerospace Engineering,Beijing Institute of Technology,Beijing 100081,China);Fault Pattern Recognition Based on Bispectrum Entropy Model[J];Acta Armamentarii;2012-06
2 AI Li,HUA Jing(Engineering College,Honghe University,Mengzi 661199,China);Fault Diagnosis of Rolling Bearings Based on Multi Sensor Information Fusion[J];Bearing;2012-03
3 ZHU Yu,WANG Dian,WANG Hai-yang(Department of Mechanical Engineering,North China Electric Power University,Baoding 071000,China);Fault Diagnosis of Rolling Bearings Based on EMD and Information Entropy[J];Bearing;2012-06
4 LIU Xiaohua1,2(1.Department of Communication and Information System,Naval Aeronautical Engineering University,Yantai 264001,China;2.College of Computer Science,Shandong Institute of Business and Technology, Yantai 264005,China);Hybrid inference design on intelligent fault diagnosis of rotating machinery[J];Journal of Liaoning Technical University(Natural Science);2011-04
5 DING Ping-ping(Anqing Branch,China Petrochemical Corporation,Anhui Anqing 246002,China);Application of Intelligent Diagnosis in Field of Rotating Machinery[J];Guangzhou Chemical Industry;2012-07
6 GUANG Shan (School of Mechanical Engineering,Northeast DianLi University,Jilin Jilin 132012);Study on Identification Method of Tool Wear Based on Singular Value Decomposition and Least Squares Support Vector Machine[J];Journal of Northeast Dianli University;2013-03
7 MA Bai-xue;PAN Hong-xia;YANG Su-mei;Mechanical Engineering and Automation,North University of China;;Gearbox Fault Diagnosis based on EEMD and Two-Dimensional Marginal Spectrum Entropy[J];Vehicle & Power Technology;2013-04
8 XU Guo-lang;WEI Yan;College of Mathematics,Chongqing Normal University;College of Computer and Information Science,Chongqing Normal University;;Based on the Binary Tree Structure Double Optimization SVM Classification Algorithm[J];Journal of Chongqing Normal University(Natural Science);2013-06
9 Li Tao;Zhang Fang;Jiang Jinhui;Nanjing University of Aeronautics and Astronautics;;Structural modal parameters indentification method based on hilbert-huang transform and independent component technique[J];Foreign Electronic Measurement Technology;2014-03
10 BIAN Jie;WANG Ping;MEI Qing;Aviation Powerplant Research Institute,Aviation Industry Corporation of China;Aviation Key Laboratory of Aero-engine Vibration Technology;;Fault diagnosis of bearings by using EEMD combined with energy feature and wavelet de-noising[J];Journal of Guangxi University(Natural Science Edition);2014-06
China Proceedings of conference Full-text Database 1 Hits
1 Xu Guo Lang1, Wei Yan2 1. Mathematics College of Chong Qing Normal University, Chongqing 401331, PR China2. The College of Computer And Information Science of Chong Qing Normal Nniversity, Chongging 401331, PR China;Binary tree classification algorithm based on GA and Its Application in the gear Machine Fault Diagnosis[A];[C];2013
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 LI Xiao-hui,LIU Yan-xiu(Computer Science and Technology Institute,Changchun University,Changchun 130022,China);A survey of case-based reasoning(CBR) mechanism[J];Journal of Changchun University;2006-08
2 LIU Ying-ji,ZHANG Tian-xia,WEN Bang-chun,YANG Jing-feng(School of Mechanical Engineering & Automation,Northeastern University,Shenyang 110004,China.);CAN Bus Based PSA Fault Diagnosis System for Engines[J];Journal of Northeastern University(Natural Science);2008-02
4 Peng Wenji Luo Xingqi (Xi’an University of Technology Xi’an 710048 China);Vibration Fault Diagnosis of Hydro-Turbine Generating Unit Based on Rough Sets and Support Vector Machine[J];Transactions of China Electrotechnical Society;2006-10
5 ZHANG Ji-li1,ZHAO Tian-yi1,LIU Hui21.School of Civil Engineering,Faculty of Infrastructure Engineering,Dalian University of Technology,Dalian 116024,China; 2. Beijing Siemens Cerberus Electronics Ltd.,Beijing 100085,China;Clustering obtainment method of T-S fuzzy control rules based on multi-dimensional ANFIS[J];Journal of Dalian University of Technology;2010-04
6 PENG Min-fang, HE Yi-gang, WANG Yao-nan( College of Electrical and Information Engineering, Hunan University, Changsha 410082, China );Fault diagnosis of analog circuits based on neural network and evidence theory[J];Journal of Circuits and Systems;2005-01
7 ZHAI Yongjie,WANG Dongfeng,HANPu(North China Electric Power Univ. Baoding 071003, China);Multi-Class Support Vector Machines for Fault Diagnosis of Turbogenerator Unit[J];Power Engineering;2003-05
8 XIE Shu-fa(Nanjing Research Institute of Electronics Technology,Nanjing 210013,China);Failure Maintainance Features and Reliability Analysis of Mechatronics Equipment[J];Electro-Mechanical Engineering;2007-04
9 LI Rong,YE Shi wei,SHI Zhong zhi(1 Dept.of Computing,Graduate School,Science and Technology University of China,Beijing 100039,China;2 National Key Laboratory of Intelligent Information Technology Process,The Institute of Computing Technology,Chinese;SVM-KNN Classifier——A New Method of Improving the Accuracy of SVM Classifier[J];Acta Electronica Sinica;2002-05
10 ZHU Ling yun, CAO Chang xiu (Institute of Automatic Control, Chongqing University, Chongqing 400044,China);A Novel Method Based on Support Vector Machine for Defect Identification[J];Journal of Chongqing University(Natural Science Edition);2002-06
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved