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Denoising method for time domain load signal based on VMD

A technology of load signal and time domain, applied in the field of signal processing, can solve the problems of false information and signal component decomposition, and achieve the effect of good adaptability and denoising ability, good technical value and application prospect.

Active Publication Date: 2020-05-12
TIANJIN UNIV
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Problems solved by technology

However, the number of modes must be given before VMD is used. If the number of modes is too small, it will be difficult to decompose the components in the signal. If the number of modes is too large, false information will be generated.

Method used

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  • Denoising method for time domain load signal based on VMD
  • Denoising method for time domain load signal based on VMD
  • Denoising method for time domain load signal based on VMD

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Embodiment Construction

[0031] In order to make the purpose, technical solution and advantages of the present invention clearer, the implementation manners of the present invention will be further described in detail below.

[0032] Such as figure 1 As shown, a VMD-based time-domain load signal denoising method specifically includes the following steps:

[0033] 1. Obtain the fractal scale value of the time-domain load signal by using the analysis algorithm for eliminating trend fluctuations, including:

[0034] (1) Time-domain load signal x(t)(t=1,2,…,N), whose mean is which is Calculate its deviation accumulation sequence y(k) (k=1,2,...,N):

[0035]

[0036] Among them, N is the signal length.

[0037] (2) Divide the deviation accumulation sequence y(k) into N / n intervals of length n, and use the linear least squares method to fit the fitting function y of each interval n (k), and then calculate the fluctuation root mean square F(n) of the deviation accumulation sequence y(k):

[0038] ...

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Abstract

The invention discloses a denoising method for a time domain load signal based on VMD. The method comprises the following steps: obtaining a fractal scale value of the time domain load signal by usinga trend fluctuation elimination analysis algorithm; obtaining a normalized mutual information threshold value through the fractal scale value, and adaptively decomposing the time domain load signal into a series of modal functions with limited bandwidth through a mutual information criterion and VMD; calculating a weighted permutation entropy of each modal component, and selecting a related modalcomponent according to the weighted permutation entropy; and accumulating all the related modal components to obtain a denoised signal. According to the method, the number of the VMD modes can be adaptively determined, and the time domain load signal is denoised by identifying the related mode components through the weighted permutation entropy, so that the analysis precision of the time domain load signal under strong background noise and complex electromagnetic interference is improved.

Description

technical field [0001] The invention relates to the technical field of signal processing, in particular to a VMD (variational mode decomposition)-based time-domain load signal denoising method. Background technique [0002] Fatigue damage is one of the main reasons for the failure of engineering structures and machinery. It is of great significance to analyze the fatigue durability of mechanical structures, and the measured load signal is the basis of fatigue durability analysis. The working environment of the combine harvester is complex and changeable, and its test signal is non-stationary and contains a lot of noise. It is of great significance to effectively remove the noise and obtain the real load signal. [0003] At present, the commonly used engineering signal denoising methods mainly include wavelet threshold denoising (WTD), empirical mode decomposition (EMD) and so on. Among them, the denoising effect of WTD depends too much on the selection of wavelet base and d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06F17/14
CPCG06F17/14G06F2218/06
Inventor 付景静牛文铁才福友
Owner TIANJIN UNIV
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