The Diagnostic Strategies for Bearing Faults in Three-phase Induction Motor
Bearing failure is one of the common faults in three-phase asynchronous motors,and timely and accurate fault diagnosis is crucial to ensure the normal operation of the motor.Considering that the Motor Current Signature Analysis(MCSA)method is easily affected by motor fundamental frequency and system noise interference,this paper proposed a bearing fault diagnosis method for three-phase asynchronous motors based on Hilbert transform.Firstly,the three-phase current signals were processed using Hilbert transform to extract the squared envelope of the current signals.Then,the squared envelope signal was analyzed using Fourier Transform(FFT),a frequency domain analysis method.Finally,the FFT spectrum was normalized,and the bearing fault can be determined by observing its spectral characteristics.This method avoids interfer-ence from the motor fundamental frequency and system noise,and can reliably detect bearing faults in three-phase asynchronous motors.A test platform has been built to verify the feasibility of the method.
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