Rolling bearing fault diagnosis method using particle filtering and spectral kurtosis

Abstract

The invention discloses a rolling bearing fault diagnosis method using particle filtering and spectral kurtosis, and relates to particle filtering denoising processing and spectral kurtosis calculation. According to the method, on the basis of quick spectral kurtosis, by use of particle filtering denoising processing, the signal-to-noise ratio is increased, and the problem that the quick spectral kurtosis is low in feasibility under the condition of low signal-to-noise ratio is solved. The method comprises the following steps: constructing a state equation of a vibration signal; then extracting background noise, and taking a sum of the background noise and the state equation as an observation equation; constructing a state space model according to the state equation and the observation equation; reestimating the signal by a particle filtering algorithm to obtain a new sequence which is a denoised signal; finally obtaining an optimal analysis frequency band by a quick spectral kurtosis method so as to obtain a fault frequency. According to the rolling bearing fault diagnosis method, the noise interference in a fault signal is reduced, the signal-to-noise ratio is increased, and diagnosis of early weak fault of a rolling bearing is realized.

Description

technical field [0001] The invention relates to a rolling bearing fault diagnosis method using particle filter and spectral kurtosis, and relates to particle filter noise reduction processing and spectral kurtosis calculation. Background technique [0002] Rolling bearings are one of the important parts of mechanical equipment, especially rotating machinery, but their life is highly random and easy to be damaged. At present, it is impossible to accurately predict the length of their life. In recent years, science and technology and industrial production are developing rapidly, and mechanical equipment is gradually developing towards high-speed, large-scale, and automation. This raises higher requirements for equipment safety and maintenance while improving productivity. A small problem will cause huge irreparable losses. In view of the status of rolling bearings in mechanical equipment, it can be concluded that the normal operation of rolling bearings is related to the norm...

AI Technical Summary

Problems solved by technology

The invention provides a method for diagnosing rolling bearing faults using particle filter and spectral kurtosis, which solves the problem that it is difficult for ordinary fast spectral kurtosis methods to diagnose bearing faults under the condition of low signal-to-noise ratio

Images