Bearing fault diagnosis method, terminal equipment and computer storage medium

Abstract

The invention provides a bearing fault diagnosis method, terminal equipment and a computer storage medium. The method comprises the steps: designing a corresponding differential operator for a bearingvibration signal model, and extracting fault vibration signal subcomponents from a vibration signal through a null space tracking algorithm; extracting instantaneous energy components in the vibration signal sub-components through a Teager energy operator, and further realizing data demodulation work; and finally, displaying the fault characteristic component by adopting a 1.5-dimensional energyspectrum. The method provided by the invention can accurately detect the fault frequency of the fault signals of the inner and outer ring bearings, and has good noise robustness.

Description

technical field [0001] The invention relates to the technical field of fault detection, in particular to a bearing fault diagnosis method, a terminal device and a computer storage medium. Background technique [0002] With the rapid development of industrial modernization, mechanical bearings are widely used in modern industrial production. Bearing failure is an inevitable problem during bearing operation. According to statistics, bearing failure accounts for as much as 40% of mechanical failures. Because the diagnosis of bearing fault has been one of the important research topics in the field of signal processing and mechanical diagnosis. There are many types of data available for bearing fault diagnosis, among which vibration information is the most widely used method. At present, the common bearing fault diagnosis algorithms based on vibration signals include EMD-HT algorithm and VMD-ICA algorithm. However, these algorithms have their own limitations, and their anti-in...

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Problems solved by technology

This algorithm will destroy the characteristics of the fault model and affect the detection accuracy

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