Fault diagnosis method and device for rolling bearing

Abstract

The invention provides a fault diagnosis method and device for a rolling bearing, and belongs to the technical field of rolling bearing fault diagnosis. The method comprises the following steps: acquiring vibration acceleration signals perpendicular to each other on the same section of the rolling bearing to obtain a plurality of rolling bearing vibration signals; separating the rolling bearing vibration signals into a group of complex functions; obtaining first n-order high-frequency complex envelope signals according to the first n-order high-frequency complex functions; obtaining first n-order high-frequency complex envelope spectra according to the first n-order high-frequency complex envelope signals; for the first n orders of high-frequency complex envelope signals, respectively calculating the phase difference of vibration acceleration signals with mutually vertical directions in each high-frequency complex envelope signal, determining a characteristic frequency band according to the size of the phase difference, and extracting the fault characteristic frequency of the rolling bearing from the corresponding high-frequency complex envelope spectrum in combination with the characteristic frequency band, and determining the fault type of the rolling bearing according to the fault characteristic frequency of the rolling bearing. According to the invention, early fault diagnosis of the rolling bearing and diagnosis of composite faults of the rolling bearing can be realized.

Description

technical field [0001] The invention relates to a rolling bearing fault diagnosis method and device, belonging to the technical field of rolling bearing fault diagnosis. Background technique [0002] Rolling bearings are important components of industrial rotating machinery, and monitoring the state of bearings through vibration signals is a common method. Due to the complex working environment of rolling bearings, early weak fault signals are easily overwhelmed by background noise and other signals in the shafting. In addition, in the actual monitoring of rolling bearings, vibration signals in multiple directions are often monitored. When faults occur in different positions of the bearing, the strength and frequency spectrum structure of the vibration signals in different directions are also different. Therefore, if only based on a single Using directional vibration signal features to diagnose rolling bearing faults may cause misjudgment and missed judgment. Contents of ...

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Problems solved by technology

[0003] The purpose of the present invention is to provide a rolling bearing fault diagnosis method and device to solve the problem that the current rolling bearing fault diagnosis method is difficult to diagnose early faults and compound faults of rolling bearings

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