Motor bearing failure diagnosis device

A device for diagnosing a fault in a bearing of a motor, comprising:

• a current signal acquisition unit, a residual signal acquisition unit, a fault feature extraction unit and a fault diagnosis model unit, wherein in a case that the device operates in a fault diagnosis mode,
• the current signal acquisition unit is configured to acquire a real-time current signal of the motor;
• the residual signal acquisition unit is configured to extract harmonic signals from the real-time current signal of the motor acquired by the current signal acquisition unit, and remove a fundamental signal and a harmonic signal from the real-time current signal of the motor, to acquire a residual signal;
• the fault feature extraction unit is configured to analyze the residual signal acquired by the residual signal acquisition unit in both time domain and frequency domain, to extract a fault feature index of the bearing;
• and
• the fault diagnosis model unit is configured to perform, by using a bearing fault diagnosis model obtained through training, pattern recognition on the fault feature index of the bearing extracted by the fault feature extraction unit, to diagnose a fault state of the bearing, wherein in the case that the device operates in the fault diagnosis mode, the fault feature extraction unit is configured to:
• acquire a minimum value (I_min) and an effective value (I_rms) of the residual signal,
• acquire a fault feature frequency of the bearing, and acquire a fault feature frequency sequence of the bearing, wherein FFT transformation is performed on the residual signal to acquire a frequency spectrum of the residual signal, and acquire an amplitude of the fault feature frequency sequence of the bearing based on the frequency spectrum of the residual signal;
• and
• acquire a maximum value (I__max), a peak-to-peak value (I__peark) and a crest factor (I__crest) of the amplitude (I_(n)) of the fault feature frequency sequence of the bearing.