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《Acta Electronica Sinica》 2017-03
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Research on Combined Intelligent Fault Diagnostic Method Based on CELCD and MFVPMCD

PAN Hai-yang;ZHENG Jin-de;YANG Yu;TONG Bao-hong;School of Mechanical Engineering,Anhui University of Technology;State Key Laboratory of Advanced Design and Manufacture for Vehicle Body,Hunan University;  
To suppress end effects of signal processing and judgment contingency of pattern recognition in the rotating machinery fault diagnosis method,an intelligent fault diagnosis method is proposed based on the cross-correlation matching endpoint extension local characteristic scale decomposition( CELCD) and the improved variable predictive model based class discriminate( VPMCD). Firstly,the characteristic of the decomposed signal is explored and the matched waveform is selected to complete the endpoint extension. Then the extension waveform is decomposed by the local characteristic scale decomposition( LCD),at the same time,and the intrinsic scale components( ISCs) with removed endpoint effect are obtained. Finally,the features of each ISC are extracted and input to the multi-model fusion-variable predictive model based class discriminate( MFVPMCD) classifier for the judgment of state probability. Experimental results showthat the proposed method can effectively identify the running state of roller bearing.
【Fund】: 国家自然科学基金(No.51505002 No.51175158);; 安徽高校自然科学研究项目资助(No.2015A080)
【CateGory Index】: TH17
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【Citations】
Chinese Journal Full-text Database 4 Hits
1 PAN Hai-yang;YANG Yu;LI Yong-guo;CHENG Jun-sheng;State Key Laboratory of Advanced Design and Manufacture for Vehicle Body,Hunan University;School of Mechanical Engineering,Anhui University of Technology;;The rolling bearings fault diagnosis method based on Manifold learning and improved VPMCD[J];振动工程学报;2014-06
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 AN Bang;PAN Hong-xia;ZHANG Yuan;ZHANG Yu-xue;ZHAO Xiong-peng;School of Mechanical and Power Engineering,North University of China;The2nd Research Institute of China Electronics Technology Group Corporation;;Research on Gearbox Fault Diagnosis Based on VMD and Multi-parameter Fusion[J];组合机床与自动化加工技术;2017-04
2 CONG Rui;ZENG Zhang-bo;LI Hong-biao;SU Xiang;College of Mechanical Science and Engineering,Northeast Petroleum University;Refinery of Daqing Petrochemical Company;;Gearbox Fault Diagnosis Based on LCD Method and Cepstrum Method[J];煤矿机械;2017-04
3 ZHENG Jinde;PAN Haiyang;TONG Baohong;ZHANG Liang'an;School of Mechanical Engineering,Anhui University of Technology;Institute of Industrial Robots,Anhui University Industrial Technology Research Institute;;Deterioration state identification method for rolling bearings based on VPMELM[J];振动与冲击;2017-07
4 PAN Hai-yang;ZHENG Jin-de;YANG Yu;TONG Bao-hong;School of Mechanical Engineering,Anhui University of Technology;State Key Laboratory of Advanced Design and Manufacture for Vehicle Body,Hunan University;;Research on Combined Intelligent Fault Diagnostic Method Based on CELCD and MFVPMCD[J];电子学报;2017-03
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6 PAN Hai-yang;YANG Yu;ZHENG Jin-de;CHENG Jun-sheng;State key Laboratory of Advanced Design and Manufacture for Vehicle Body,Hunan University;School of Mechanical Engineering,Anhui University of Technology;;Variable predictive model based RBF class discriminate method[J];航空动力学报;2017-02
7 WU Yinhua;XU Qiongyan;LI Junfeng;School of Electrical Engineering Jiujiang Vocational and Technical College;National Research Institute of Radio Spectrum Management;;Fault Feature Extraction Method Based on Local Characteristic-scale Decomposition Permutation Entropy and Liner Local Tangent Space Alignment[J];机械设计与研究;2017-01
8 BIAN Bing-bing;Pingdingshan Industrical College of Technology;;Fault Diagnosis Method of Rolling Bearing Based on LCD Denoising and LS-SVM[J];组合机床与自动化加工技术;2017-02
9 DONG Su-ge;HU Dai-di;GE Ming-tao;Department of Electrical Engineering Zhengzhou University,Sias International University;;Fault Diagnosis of Ball Bearing Based on ELCD and ELM[J];机械设计与制造;2017-02
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