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.