Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《China Mechanical Engineering》 2016-24
Add to Favorite Get Latest Update

Fault Identification Method for Hydraulic Pumps Based on Multi-feature Fusion and Multiple Kernel Learning SVM

Liu Zhiqiang;Jiang Wanlu;Tan Wenzhen;Zhu Yong;Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control,Yanshan University;Key Laboratory of Advanced Forging & Stamping Technology and Science,Ministry of Education of China;Tangsteel High Strength Automotive Strip Co.,Ltd.;  
A hydraulic pump fault identification method was put forward based on multiple feature fusion and multiple kernel learning SVM.Firstly,the original signals were processed by the ensemble empirical mode decomposition.Then,the feature vectors of hydraulic pump faults were obtained by using the autoregressive model and the singular value decomposition.Through different types of features mapped by corresponding different kernel functions,the hydraulic pump working conditions and fault types might be finally identified by multiple kernel learning SVM.The experimental results show that the approach improves the accuracy of fault diagnosis significantly.
【Fund】: 国家自然科学基金资助项目(51475405);; 国家重点基础研究发展计划(973计划)资助项目(2014CB046405);; 河北省自然科学基金资助项目(E2013203161)
【CateGory Index】: TH137.51;TP181
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 3 Hits
1 WANG Hong-Qiao1,2 SUN Fu-Chun2 CAI Yan-Ning1 CHEN Ning2 DING Lin-Ge2 1.Department of Command Automation,the Second Artillery Engineering Institute,Xi an 710025 2.Department of Computer Science and Technology,State Key Laboratory of Intelligent Technology and Systems,Tsinghua National Laboratory for Information Science and Technology,Tsinghua University,Beijing 100084;On Multiple Kernel Learning Methods[J];自动化学报;2010-08
2 GUO Chuang-xin1,ZHU Cheng-zhi2,ZHANG Lin3,PENG Ming-wei1,LIU Yi1(1.College of Electrical Engineering,Zhejiang University,Hangzhou 310027,Zhejiang Province,China;2.Zhejiang Electric Power Corporation,Hangzhou 310007,Zhejiang Province,China;3.Northwest China Grid Company Limited,Xi'an 710048,Shaanxi Province,China);A Fault Diagnosis Method for Power Transformer Based on Multiclass Multiple-kernel Learning Support Vector Machine[J];中国电机工程学报;2010-13
3 Yu Dejie Yang Yu Cheng Junsheng(College of Mechanical and Automotive Engineering,Hunan University, Changsha 410082);FAULT DIAGNOSIS APPROACH FOR GEARS BASED ON EMD AND SVM[J];机械工程学报;2005-01
Chinese Journal Full-text Database 10 Hits
1 SHEN Jian;JIANG Yun;ZHANG Ya-nan;HU Xue-wei;College of Computer Science and Engineering,Northwest Normal University;;Novel Multi-scale Kernel SVM Method Based on Sample Weighting[J];计算机科学;2016-12
2 TAO Xinmin;LI Zhen;LIU Furong;ZHANG Yue;College of Engineering&Technology,Northeast Forestry University;College of Information and Communication Engineering,Harbin Engineering University;Science and Information Department,State Grid Heilongjiang Electric Power Company Limited;;Fault Detection Method for Power Transformer Based on SVM Using Reduced Vector Set[J];高电压技术;2016-10
3 GUO Jing-quan;Chongqing College of Electronic Engineering;;Technical research on the state evaluation of the marine gear box[J];舰船科学技术;2016-20
4 XU Kang;HUANG Min;MA Chao;GAO Hong;School of Mechanic and Electric Engineering,Beijing Information Science & Technology University;;The Application of SVD-LMD and DHMM to Fault Diagnosis of Rolling Bearing[J];组合机床与自动化加工技术;2016-08
5 Zeng Qingsong;School of Information and Technology,Guangzhou Panyu Polytechnic;;Multi-kernel support vector domain description and its application in facial recognition based on image set matching[J];中国图象图形学报;2016-08
6 ZHAO Yu;CHEN Rui;LIU Wei;Institute of Policy and Management,Chinese Academy of Sciences;University of Chinese Academy of Sciences;;Research on Optimal Support Vector Classifier Model Integrating Feature Selection[J];计算机科学;2016-08
7 Fu Jundong;Chen Li;Kang Shuihua;Feng Yixuan;School of Electrical and Electronic Engineering, East China Jiaotong University;;Transformer Fault Diagnosis Based on Dragonfly Optimization Algorithm and Support Vector Machine[J];华东交通大学学报;2016-04
8 XU Kang;HUANG Min;School of Mechanic and Electric Engineering,Beijing Information Science &Technology University;;Tool Fault Diagnosis Based on Empirical Mode Decomposition and Discrete Hidden Markov Model[J];组合机床与自动化加工技术;2016-07
9 DUAN Teng-fei;School of Mechanical Engineering,Xi'an Shiyou University;;Fault Diagnosis of Gear Via Sparse Representation[J];机械研究与应用;2016-03
10 MA Jia-jun;College of Mathematics and Computer Application,Shangluo University;;Mixed Kernel Fisher Discriminant Analysis Based on Maximum Margin Criterion[J];重庆工商大学学报(自然科学版);2016-03
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 Li Ming and Zhou Zhihua(National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093);Online Semi-Supervised Learning with Multi-Kernel Ensemble[J];计算机研究与发展;2008-12
2 MU Shaomin1,2,TIAN Shengfeng1,YIN Chuanhuan1 (1.School of Computer and Information Technology,Beijing Jiaotong University, Beijing 100044,China;2.Shandong Agriculture University,Taian 271018,China);Multiple Kernel Learning Based on Cooperative Clustering[J];北京交通大学学报;2008-02
3 XIAO Yan-cai~1,CHEN Xiu-hai~2,ZHU Heng-jun~1(1.School of Mechanical,Electronic and Control Eng.,Beijing Jiaotong Univ.,Beijing 100044,China;2.Beijing Electric Power Corporation,Beijing 100031,China);The Application of Genetic Support Vector Machine in Power Transformer Fault Diagnosis[J];上海交通大学学报;2007-11
4 Wu Xiaohui1,Liu Jiong1,Liang Yongchun1,Wang Xiaoming2,Li Yanming1(1.School of Electrical Engineering,Xi′an Jiaotong University,Xi′an 710049,China;2.Ultra High Voltage Transmission Subcompany of Jiangxi Electric Power Corporation,Nanchang 330066,China);Application of Support Vector Machine in Transformer Fault Diagnosis[J];西安交通大学学报;2007-06
5 JIANG Wei LUO Yi TU Guangyu (College of Electric & Electronic Eng.,HUST,Wuhan 430074,China);Fault Diagnosis Model for Power Transformer Based on Multi-class Support Vector Machine[J];水电能源科学;2007-01
6 Zhou Yatong Zhang Taiyi Li Xiaohe (School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China);MULTI-SCALE GAUSSIAN PROCESSES MODEL[J];Journal of Electronics;2006-04
7 Lü Gan-yun, CHENG Hao-zhong, DONG Li-xin, ZHAI Hai-bao (Department of Electrical Engineering,Shanghai Jiaotong University, Shanghai 200 030, China);Fault Diagnosis of Power Transformer Based on Multi-La yer SVM Classifier[J];电力系统及其自动化学报;2005-01
8 Lü Gan-yun, CHENG Hao-zhong,ZHAI Hai-bao, DONG Li-xin (Department of Electrical Engineering, Shanghai Jiaotong University, Shanghai 200030, China);FAULT DIAGNOSIS OF POWER TRANSFORMER BASED ON IMPROVED GREY RELATION ANALYSIS[J];中国电机工程学报;2004-10
9 PENG Ning-yun, WEN Xi-shan, WANG Yi, CHEN Jiang-bo, CHAI Xu-zheng (Electrical Engineering School,Wuhan University, Wuhan 430072, China);A POTENTIAL FAULT DIAGNOSIS METHOD BASED ON LINEAR CLASSIFIER FOR OIL-IMMERSED TRANSFORMER[J];中国电机工程学报;2004-06
10 DONG Ming, MENG Yuan-yuan, XU Chang-xiang, YAN Zhang (Xian Jiaotong University, Xian 710049, China);FAULT DIAGNOSIS MODEL FOR POWER TRANSFORMER BASED ON SUPPORT VECTOR MACHINE AND DISSOLVED GAS ANALYSIS[J];中国电机工程学报;2003-07
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved