A Rolling Bearing Degradation Index Extraction Method Based on Time-Frequency Feature Separation
A rolling bearing, time-frequency characteristic technology, applied in the field of rolling bearing fault diagnosis, can solve problems such as inability to characterize bearing degradation process, impact component distortion, etc.
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[0062] The present invention is further described in detail below in conjunction with embodiments and accompanying drawings.
[0063] as Figure 1 As shown, a method for obtaining the degradation trend of rolling bearings based on time-frequency characteristic analysis, using the original signal of bearing outer ring failure in XJTU-SY bearing data, including the following steps:
[0064] Step 1: First of all, the original signal of the rolling bearing from normal to fault is collected at intervals by vibration acceleration sensor, and the data is collected every minute, each sampling time is 1.28s, the sampling frequency is 25.6KHz, and a total of 123 groups are collected; among them, the 10th group of original signals (before the fault) and the 80th group of original signals (after the failure) are the first 0.1s time domain waveform and the short-term Fourier transform time domain waveform Figure 2 、 Figure 3 As shown, in the time spectrum, the harmonic component behaves as prom...
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