Research of EEMD-PCA for Rotor Faults Identification in Centrifugal Compressor

MA Zai-chao1Wen Guangrui 1,2Zhang Henghui 1Liao Yuhei1

Journal of Vibration and Shock ›› 2016, Vol. 35 ›› Issue (4) : 148-155.

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Journal of Vibration and Shock ›› 2016, Vol. 35 ›› Issue (4) : 148-155.

Research of EEMD-PCA for Rotor Faults Identification in Centrifugal Compressor

  • MA Zai-chao1Wen Guangrui 1,2Zhang Henghui 1Liao Yuhei1
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Abstract

Aiming at small vibration but vibration signal characterized of non-stationary, non-linear and interfered with noise, fault identification method through EEMD together with PCA is proposed for rotor system in centrifugal compressor. Based on the choice of IMFs by correlation analysis combined with FFT, fluctuant variation index is constructed to recognize amplitude of added noise quantitatively. At that moment, 14 kinds of vibration estimated index are calculated further to form a standardized feature data set. Consequently, dimension reduction method of PCA can be used to obtain categories of vibration modes from different faults. Analysis results of typical faults vibration signal from rotor system in centrifugal compressor suggest that based on the elimination of interference from non-stationary and non-linear, primary vibration modes can be extracted fast and independent, thus feature regions which represent different fault categories can be formulated and also improved fault identification ability of centrifugal compressor efficiently.

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MA Zai-chao1Wen Guangrui 1,2Zhang Henghui 1Liao Yuhei1. Research of EEMD-PCA for Rotor Faults Identification in Centrifugal Compressor[J]. Journal of Vibration and Shock, 2016, 35(4): 148-155

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