Gear box composite fault diagnosis method based on reverse editing

A compound fault diagnosis method technology, which is applied in the compound fault diagnosis of bearings and gears in gearboxes, and in the field of compound fault diagnosis of gearboxes based on inversion editing, can solve the problems of signal requirements and parameter sensitivity, and achieve fast speed and calculation process The effect of simple process

Active Publication Date: 2020-02-18
BEIJING UNIV OF TECH
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Problems solved by technology

However, this method is sensitive to the requirements and parameters of the signal

Method used

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  • Gear box composite fault diagnosis method based on reverse editing
  • Gear box composite fault diagnosis method based on reverse editing
  • Gear box composite fault diagnosis method based on reverse editing

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Embodiment Construction

[0047] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0048] figure 1 It is a flow chart of the method for diagnosing compound faults of gearboxes based on inversion editing in the present invention. The principle of the composite fault diagnosis method based on inversion editing and amplitude level classification will be described in detail below in conjunction with the flow chart.

[0049] (1) Use the acceleration sensor to obtain the vibration acceleration signal of the faulty bearing as the signal x(k) to be analyzed, and the sampling length is set to the integer power of 2;

[0050] (2) Perform inversion editing on the vibration signal.

[0051] (3) Fault decomposition is performed on the composite fault reconstruction signal by amplitude level decomposition; the amplitude spectrum of the composite fault reconstruction signal is created by using fast Fourier transform;

[0052] S(j)=FFT(s(...

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Abstract

The invention discloses a gear box composite fault diagnosis method based on reverse editing. The method comprises the steps of: performing initial phase identification, editing, inversion and vectorsuperposition on an original vibration signal according to energy differences of a gear fault signal, a bearing fault signal and noise and conjugate symmetry of Fourier transform, so that effective noise reduction of the signal and division of different energy components in the signal are achieved; applying an amplitude level decomposition method based on the maximum between-cluster variance to automatically decompose energy difference features in the signal to achieve effective separation of composite faults; and performing Hilbert envelope demodulation analysis on the separated fault signalsagain, and finally achieving fault feature extraction and diagnosis. Through simulation analysis of the composite fault signal, effectiveness of the method is verified. Experimental data analysis results also show that the method can effectively separate and diagnose the bearing and gear composite fault in the gear box.

Description

technical field [0001] The invention relates to a compound fault diagnosis method for bearings and gears in a gearbox, in particular to a compound fault diagnosis method for a gearbox based on inversion editing, and belongs to the technical field of fault diagnosis. Background technique [0002] Bearings and gears are important parts in mechanical structures for supporting and transmitting power. Due to complex working conditions and harsh environments, gears and bearings are also vulnerable parts in rotating machinery. Once the bearings and gears fail, it is likely to cause damage to the entire mechanical structure, resulting in more serious consequences. Therefore, it is of great significance to carry out fault diagnosis on key components such as bearings and gears. [0003] Signal processing is an important step in machine fault diagnosis, and vibration analysis is a common analysis method in signal processing. Signal processing techniques based on vibration analysis i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/021G01M13/028G06F30/17G06F17/14
CPCG01M13/021G01M13/028G06F17/142
Inventor 崔玲丽孙寅王华庆姜宏周建平
Owner BEIJING UNIV OF TECH
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