Abstract
Considering the shortcomings of traditional time-domain and frequency-domain analysis in processing non-stationary signals, this paper proposes to introduce time-frequency into the analysis of a one-dimensional vibration signal and transform it into a two-dimensional time-frequency image to obtain more abundant diagnostic information. At the same time, considering the problem of noise interference under complex working conditions, wavelet denoising is used to preprocess the signal, and the simulation signal is defined. The method of obtaining the time-frequency image verifies the denoising effect. Finally, through the public test data, it is proved that the method can effectively obtain reliable time-frequency images for further bearing fault diagnosis research.
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