Gearbox fault diagnosis method based on resonance base bandwidth Fourier decomposition

A fault diagnosis and gearbox technology, applied in the testing of mechanical components, the testing of machine/structural components, measuring devices, etc., can solve the problems of low accuracy of gearbox fault diagnosis, ignoring the inherent mechanism of vibration signals, etc. The effect of high recognition accuracy, elimination of potential safety hazards, and improved reliability

Inactive Publication Date: 2021-03-23
SOUTHEAST UNIV
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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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  • Gearbox fault diagnosis method based on resonance base bandwidth Fourier decomposition
  • Gearbox fault diagnosis method based on resonance base bandwidth Fourier decomposition
  • Gearbox fault diagnosis method based on resonance base bandwidth Fourier decomposition

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Embodiment Construction

[0072] DETAILED DESCRIPTION OF THE PREFERRED Here in the following view will be described below.

[0073] Such as figure 1 As shown, a gearbox fault diagnosis method based on resonant base bandwidthum Fourier decomposition, including the following steps:

[0074] Step 1: Based on a single degree of freedom quality - stiffness - damping system to establish transient vibration response model of gearbox;

[0075]

[0076] In the formula (1), X is the gearbox vibration response model in the outside excitation f 0 Displacement under action; M, K and C are quality, stiffness and damping;

[0077] Under the stable condition, the vibration of the gearbox is mainly caused by the time-varying meshing rigidity K, and its mathematical model is:

[0078]

[0079] In the formula (2), k 0 Basic stiffness for the gear system; K 1 The local stiffness change caused by local defects; T is time; N is the number of impact; k 2 Periodic stiffness changes corresponding to gear engagement; F c And f...

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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 ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/021G01M13/028
CPCG01M13/021G01M13/028
Inventor 邓艾东邓敏强朱静史曜炜卢浙安王煜伟马天霆张顺丁雪徐硕
Owner SOUTHEAST UNIV
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