Introduction - If you have any usage issues, please Google them yourself
Empirical wavelet transform (EWT) is a new self adaptive signal decomposition method. This method inherits the advantages of EMD and wavelet transform, adaptively segments the Fourier spectrum by extracting the maxima point in the frequency domain to separate the different modes, and then constructs adaptive band-pass filters in the frequency domain so as to construct orthogonal wavelet functions and extract AM-FM components that have a compact support Fourier spectrum. Here, the EWT is introduced in the mechanical fault diagnosis, and a new mechanical fault diagnosis method based on EWT is proposed. The EWT method is compared with the traditional EMD method. The simulation results show that the EWT method is obviously superior to the EMD method. The proposed method can effectively decompose the intrinsic modes of the signal. Compared with the EMD method, this method has some distinct advantages,such as less decomposed modes, no virtual modes, less calculation, easy to beunderstood in