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A Gearbox Fault Identification Method Based on Spectrum Trend and Variational Mode Decomposition

A technology of variational mode decomposition and fault identification, which is applied in the testing of mechanical components, testing of machine/structural components, instruments, etc., can solve problems such as differences, affecting the accuracy of fault identification, adverse effects of fault identification, etc., and achieve reasonable distribution , the effect of improving the accuracy

Active Publication Date: 2020-12-01
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0004] When the VMD method directly processes the vibration signal of the gearbox, the number of modal components needs to be preset. If the estimated number of components is too large or too small, the decomposition of the vibration signal will be unreasonable and affect the accuracy of fault identification.
In addition, different center frequency initialization methods will also cause different distributions of the decomposed modal components on the frequency spectrum, which will also have an adverse effect on fault identification
These problems also affect the wide application of VMD method in the field of gearbox fault identification

Method used

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  • A Gearbox Fault Identification Method Based on Spectrum Trend and Variational Mode Decomposition
  • A Gearbox Fault Identification Method Based on Spectrum Trend and Variational Mode Decomposition
  • A Gearbox Fault Identification Method Based on Spectrum Trend and Variational Mode Decomposition

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Embodiment 1

[0048] Such as Figure 1-2 As shown, the gearbox fault identification method based on frequency spectrum trend and variational mode decomposition includes the following steps:

[0049]1) Taking the vibration signal of the horizontal driving machine (HDM) gearbox collected from a car seat as an example, the time domain waveform is as follows: image 3 As shown, Fourier transform is performed on it to obtain its signal spectrum as Figure 4 shown;

[0050] 2) Using the EMD algorithm to decompose the frequency spectrum of the obtained HDM vibration signal, the obtained IMFs and residuals such as Figure 5 shown;

[0051] 3) Reconstruct the last 4 IMFs and residuals (that is, the sum of IMF10~IMF13 and the residual res), and obtain their spectral trends (for clear display, the amplitude of the spectral trends is multiplied by 2) and the Fourier of the vibration signal leaf spectrum such as Figure 6 shown;

[0052] 4) The number of maximum value points detected in the spectr...

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Abstract

The invention discloses a gear case fault recognition method based on spectrum trends and variation mode decomposition. The method includes the steps: firstly, acquiring vibration signals of a targetgear case; secondly, improving a variation mode decomposition method by the aid of a mode based on spectrum trends, and decomposing the vibration signals of the gear case by the improved variation mode decomposition method to obtain mode components of the vibration signals; thirdly, performing demodulation analysis on the acquired mode components to obtain characteristic frequency of each mode signal; finally, comparing the characteristic frequency and gear converting frequency of the gear case, and positioning fault sources of the gear case. According to the method, trend concepts of a time-domain range is introduced into a frequency domain range, a method for improving variation mode decomposition based on the spectrum trends is provided and effectively solves the problem that modal number needs to be preset in variation mode decomposition, center frequency is initialized by the aid of normalized x-coordinates of maximum values of the spectrum trends, and decomposed modes are more reasonable.

Description

technical field [0001] The invention belongs to the technical field of gearbox fault identification, in particular to a gearbox fault identification method based on spectrum trend and variational mode decomposition (VMD), which is a multi-component number estimation based on spectrum trend (Spectrum Trend) And based on the spectrum trend, the variational mode decomposition (Variational Mode Decomposition, VMD) algorithm is improved for the extraction of multi-component signal modes. Background technique [0002] The gearbox vibration signal has the characteristics of complex multi-component and AM-FM. The amplitude demodulation and frequency demodulation methods can avoid the complex sideband analysis in the traditional Fourier spectrum and effectively identify the fault characteristic frequency. However, a prerequisite for effective demodulation analysis of multi-component AM-FM signals is to extract effective modal components. Both wavelet transform (Wavelet Transform, WT)...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/17G01M13/021
CPCG01M13/021G06F30/17
Inventor 张征王昌明鲍雨梅吴化平李吉泉丁浩
Owner ZHEJIANG UNIV OF TECH
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