Diagnosis of Bearing Fault in Induction Motors Using Hilbert Demodulation Approach
Song Xiangjin1, 2, ; Wang Zhuo1, 2, ;Hu Jingtao1, 2, ;Zhu Hongyu3
1. Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 China; 2. University of Chinese Academy of Sciences Beijing 100049 China; 3. School of Electronic and Information Engineering University of Science and Technology Liaoning Anshan 114051 China
Abstract：Because of the influence of the spectral leakage of the main frequency component, eccentricity harmonics and power supply noise, motor current signature analysis (MCSA) is unable to detect the bearing outer raceway fault when an induction motor (IM) operates under the light load conditions. In this paper, a bearing fault diagnosis method based on the squared envelope approach of the motor stator current using Hilbert demodulation technique was proposed. An analytical signal corresponding to the stator current signal was constructed first using Hilbert transform and then a squared envelope was obtained from the analytical signal. Second, the Fast Fourier Transform (FFT) of the squared envelope was investigated. Finally, the motor bearing failure was determined based on whether the characteristic fault frequency fof could be found in the squared envelope spectrum or not. The proposed method can be used to detect the characteristic fault frequency fof directly instead of detecting the sideband components around the supply frequency |f1±fof| as used in traditional MCSA. Thus, the proposed approach can significantly reduce the negative influence of the spectral leakage of the main frequency component spectral and the power supply noise. The experimental results under different load conditions clearly prove the effectiveness and stability of the proposed method.
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2018, Vol. 33 
