A rolling bearing fault diagnosis method and device

Abstract

The invention provides a rolling bearing fault diagnosis method and device, belonging to the technical field of fault diagnosis. The method comprises: using an acceleration sensor to obtain a time-domain data sequence of the vibration acceleration signal of the rolling bearing to be tested; using the time-domain data sequence to calculate a peak index, a kurtosis index and a waveform index; if the value of one of the indexes is greater than the value of the index normal value, the time-domain data sequence is subjected to high-pass filtering and segmentation processing to obtain a new time-domain data sequence; the new time-domain data sequence is resampled, and the resampled time-domain data sequence is used to calculate The frequency spectrum is obtained; if the maximum value of the amplitude in the frequency spectrum is greater than the fault alarm value, it is judged that the rolling bearing to be tested is faulty. According to the present invention, when a fault occurs, the amplitude at the fault characteristic frequency of the rolling bearing spectrum to be tested must be included in the first few amplitude maximum values ​​of the spectrum to realize the fault diagnosis of the rolling bearing to be tested, and the diagnosis result can objectively reflect the rolling bearing to be tested. real fault conditions.

Description

technical field [0001] The invention relates to a rolling bearing fault diagnosis method and device, belonging to the technical field of fault diagnosis. Background technique [0002] In the fault diagnosis of rolling bearings, the early fault signals of rolling bearings are often submerged in the background noise, which is difficult to be found and extracted, and the early fault signals of rolling bearings appear in the high frequency band. In addition, the fault vibration signals of rolling bearings generally contain periodic The pulse impacts the signal and produces the modulation phenomenon of the vibration signal, which is manifested as modulated sidebands with even intervals on both sides of the characteristic frequency on the frequency spectrum. [0003] At present, the envelope demodulation analysis method is generally used to realize the fault diagnosis of rolling bearings. This method extracts modulation information from the fault vibration signal of rolling bearin...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a rolling bearing fault diagnosis method to solve the problem that the rolling bearing fault diagnosis result obtained by the envelope demodulation analysis method is difficult to objectively reflect the real fault condition of the rolling bearing; the present invention also provides a rolling bearing fault diagnosis device , to solve the problem that the rolling bearing fault diagnosis result obtained by the envelope demodulation analysis method is difficult to objectively reflect the real fault situation of the rolling bearing

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