Fault characteristics extraction of motor's vibratory signal based on wavelet transform

The fault in motor arises with the change in vibration, which shows on the vibration form, amplitude size and frequency composition. So if a different frequency composition and the corresponding time of vibration signal are detected, we can efficiently diagnosis the fault's type, extent and time. Fault characteristics extraction of motor's vibratory signal based on wavelet transform makes good use of the advantage of wavelet transform singularity detection and multi-resolution analysis remove the noise from the signal, and extract the fault characteristics. The computer emulation verifies the method is practical.