The electrical fault diagnosis of early induction motor based on wavelet transform

At present, non-stationary signals can be often found in the fault signal of the motor, when conducting the diagnosis and analysis of common fault for various types of asynchronous electrical equipment that is widely used in various fields. It will produce a higher rate of misjudgment if we use the Fourier analysis which is a traditional method. Therefore, we will introduce the wavelet transform to the early failure detection of induction motor for its excellent time-frequency localization properties, and we validate the good effect of this method through simulation analysis.