A Fault Diagnosis Method of Rolling Bearing Acoustic Signals Based on Short-Time Fourier Transform and Sparse Stacked Autoencoder
A short-time Fourier, automatic encoder technology, applied in the direction of mechanical bearing testing, can solve problems such as rare fault diagnosis, and achieve the effect of improving accuracy
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[0036] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0037] The flow of a rolling bearing sound signal fault diagnosis method based on STFT and SAE in the present invention is as follows: figure 1 shown. The specific process can be summarized as the following five steps:
[0038] Step 1: Get Data
[0039] Use the smart phone to record the sound signal during the bearing operation as required, and do some editing.
[0040] Step 2: Sound signal short-time Fourier analysis (STFT)
[0041] The program reads in the preprocessed sound signal, and Matlab uses the spectrogram function to obtain its spectrogram and spectrogram matrix.
[0042] On the whole, the parameters that characterize the sound signal change in real time, but are relatively stable within a short period of time (20-30ms), so it can be regarded as a quasi-steady-state process. The purpose of windowing is to divide the sound signal...
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