Variable-speed rolling bearing fault recognition method based on order enveloping time-frequency energy spectrum

Abstract

The invention discloses a variable-speed rolling bearing fault recognition method based on an order enveloping time-frequency energy spectrum. Short time Fourier transform is carried out on low-band signals in acquired rolling bearing vibration signals under a variable speed to acquire a short time spectrum, and in combination of a peak search method, instantaneous rotating frequency estimation for a bearing reference axis harmonic component is acquired; then, through a fast kurtosis spectrum technique, the optimum resonance frequency band pass parameters of the vibration signals are determined, the band pass signals after band pass filtering are subjected to Hilbert transform to acquire enveloping signals, and through short time Fourier transform, an enveloping time-frequency energy matrix is obtained; and an extraction interval is set, an order enveloping energy calculation path is obtained, order enveloping time-frequency energy in different orders is calculated through the energy calculation path and the enveloping time-frequency energy matrix, an order enveloping time-frequency energy spectrum is acquired, and through comparison between the order corresponding to the maximum order enveloping time-frequency energy and a fault order, bearing fault recognition is realized. The method has the advantages that the calculation efficiency is high, and requirements of real-time monitoring in actual engineering application can be met.

Description

technical field [0001] The invention belongs to the technical field of rolling bearing fault diagnosis, and in particular relates to a variable speed rolling bearing fault identification method based on an order envelope time-frequency energy spectrum. Background technique [0002] Many major rotating mechanical equipment in the fields of industry, civil, national defense and so on will operate under variable speed conditions, and rolling bearings, as the most commonly used parts in rotating machinery, play a role in supporting the rotary shaft and reducing shafting friction in the equipment Its operating status will directly affect the service life, operating reliability and accuracy of the machinery and equipment. Since the vibration information excited by rolling bearings can quickly and intuitively reflect changes in the health status of equipment, in order to effectively prevent major accidents caused by rolling bearing failures, it is necessary to acquire and process v...

AI Technical Summary

Problems solved by technology

However, the order analysis technology of the above method in the environment of no key phase needs to accurately obtain the instantaneous phase information, the algorithm complexity

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