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《Journal of Naval University of Engineering》 2013-01
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Fault feature extraction of piston pump based on EEMD and smoothed energy operation separation

TIAN Hai-lei,LI Hong-ru,XU Bao-hua(Dept.of Missile Engineering,Ordnance Engineering College,Shijiazhuang 050003,China)  
For the modulation of vibration signal in the piston pump,a method was presented which can get fault feature based on EEMD and the smoothed energy operation separation,and the wavelet packet was used to decompose energy of frequency area in order to extract fault feature vectors.Firstly,the EEMD method was adopted to decompose some IMF functions of vibration signal for piston pump.Secondly,some key IMF functions involving main fault information were selected to achieve demodulation information by means of smoothed energy operation separation.Then the fault information in the high-frequency area was extracted.Finally,the wavelet packet was used to decompose the energy of the frequency area in order to obtain fault feature vectors.The result shows that the method can avoid the mode mixing efficiently,extract fault information in the high-frequency area and get the frequency of fault feature.
【Fund】: 国家自然科学基金资助项目(51275524)
【CateGory Index】: TH165.3
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