Research on Fault Signal Processing of Industrial NMB Bearing Based on MCKD Noise Reduction
In order to further improve the internal faults hidden in the operation of industrial NMB bearings,a bearing ball fault signal processing method based on maximum correlation kurtosis(MCKD)noise reduction was designed,and the test signal was analyzed.The results show that the impact characteristics of the bearing ball signal are significantly enhanced.The characteristic frequency and frequency doubling of ball faults are determined according to the square envelope spectrum,and the ball faults of bearings are accurately detected.The MCKD method designed in this paper can realize die diagnosis of bearing fault signals,especially for the signals containing strong noise,and meet the requirements of fault identification under the condition of strong noise.The research can be applied to the detection of other bearing parts such as inner and outer rings,and has high popularization value.
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