Method, device, medium and computer equipment for rolling bearing fault diagnosis

Abstract

The application provides a rolling bearing fault diagnosis method, device, medium and computer equipment, including: intercepting the vibration signal of the rolling bearing to obtain an initial signal; creating an initial Hankel matrix based on the initial signal, and using a singular value decomposition algorithm to perform an initial Hankel matrix Reconstruct to obtain the reconstructed signal; use the 1.5-dimensional symmetric differential analytical energy operator demodulation algorithm to demodulate the reconstructed signal to obtain the demodulated signal; determine the 1.5-dimensional energy spectrum of the fault characteristic signal based on the demodulated signal; based on the 1.5-dimensional The energy spectrum is used to diagnose the fault of the bearing; in this way, the original vibration signal of the rolling bearing can be reconstructed by using the adaptive singular value decomposition algorithm, the background noise in the vibration signal can be removed, and the fault characteristics can be obtained; The sub-demodulation algorithm processes the fault characteristics, suppresses the residual noise, improves the fault characteristics, and ensures the accuracy of the fault diagnosis results.

Description

technical field [0001] The present application belongs to the technical field of fault diagnosis, and in particular relates to a method, device, medium and computer equipment for fault diagnosis of a rolling bearing. Background technique [0002] In rotating machinery, bearings are the most commonly used components and the most easily damaged components. Bearing failure can bring great economic losses and even personal injury, so it is necessary to monitor and diagnose bearings. [0003] Bearings of rotating machinery are generally under complicated working conditions. When a bearing fails, the impact signal is often submerged by the background noise, the impact of the vibration signal is not obvious, and the signal-to-noise ratio is low, which has a great impact on the accuracy of fault diagnosis. Therefore, it is necessary to perform signal processing on the collected signal to improve the characteristics of the fault signal. [0004] At present, the related art mainly a...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problems existing in the prior art, the embodiment of the present application provides a rolling bearing fault diagnosis method, device, medium and computer equipment, which are used to solve the problem of faults in the prior art when performing fault diagnosis on rolling bearings of rotating machinery equipment. The impact signal is submerged and the fault features are difficult to extract, resulting in large errors in the extracted fault features, which in turn leads to the technical problem of low accuracy of fault diagnosis results

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