Rolling bearing fault diagnosis method and device, medium and computer equipment

Abstract

The invention provides a rolling bearing fault diagnosis method and device, a medium and computer equipment, wherein the method comprises the steps: intercepting a vibration signal of a rolling bearing, and obtaining an initial signal; creating an initial Hankel matrix based on the initial signal, and reconstructing the initial Hankel matrix by using a singular value decomposition algorithm to obtain a reconstructed signal; demodulating the reconstructed signal by using a 1.5-dimensional symmetric differential analysis energy operator demodulation algorithm to obtain a demodulated signal; determining a 1.5-dimensional energy spectrum of the fault characteristic signal based on the demodulation signal; carrying out fault diagnosis on the bearing based on a 1.5-dimensional energy spectrum; therefore, reconstructing the original vibration signal of the rolling bearing by using a self-adaptive singular value decomposition algorithm, removing background noise in the vibration signal, and obtaining fault features; and processing the fault features through a 1.5-dimensional symmetric difference analysis energy operator demodulation algorithm. Residual noise is suppressed, the fault features are improved, and the precision of a fault diagnosis result is ensured.

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 rolling bearings. Background technique [0002] In rotating mechanical equipment, bearings are the most commonly used components and the most easily damaged components. Bearing failure can bring great economic loss and even personal injury, so it is necessary to monitor and diagnose bearings. [0003] The general working conditions of the bearings of rotating mechanical equipment are relatively complicated. When the 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] A...

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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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