Gearbox fault diagnosis method based on resonance base bandwidth Fourier decomposition

Abstract

The invention provides a gearbox fault diagnosis method based on resonance base bandwidth Fourier decomposition, and the method comprises the steps: firstly building a transient vibration response model of a gearbox based on a single-degree-of-freedom mass rigidity damping system through resonance base bandwidth Fourier decomposition; then, estimating the natural vibration frequency of a gearbox vibration system through Fourier spectrum maximum value point search, extracting a resonance band in an original signal through bandwidth optimization, finally, selecting out effective components containing more fault information in a decomposition result according to the characteristic frequency ratio, and realizing accurate identification of gearbox faults through Hilbert demodulation. The methodhas the characteristics of high calculation speed, strong anti-noise capability and high fault identification precision, and can be effectively applied to gearbox fault diagnosis in a complex noise environment.

Description

Technical field [0001] The present invention relates to the technical field of intelligent fault analysis algorithm, and is specifically a gear box fault diagnosis method based on resonant baseband width Fourier. Background technique [0002] Gearboxes are one of the most widely used mechanical transmission components in industrial production. The health status is largely influenced by the safety and economy of the entire equipment. However, due to factors such as alternating load, chemical erosion, the fault is frequently transmitted, mainly including gears, wear, glue, and fracture. Therefore, the accurate diagnosis of gearbox faults is significant for the safe risks of mechanical equipment in time, and improve the reliability of equipment operation. [0003] The vibration signal analysis is one of the most effective methods of mechanical equipment fault diagnosis. In recent years, domestic and foreign scholars have done a large number of research work in the diagnosis of gear ...

AI Technical Summary

Problems solved by technology

In recent years, scholars at home and abroad have done a lot of research work on gearbox fault diagnosis based on vibration signal analysis. However, most of the existing analysis methods are based on the time domain / frequency domain characteristics of the signal, and ignore the vibration signal. Inherent mechanism, which also leads to a certain extent that the accuracy of gearbox fault diagnosis in strong noise environment is not high

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