De-noising method for electric vibration signal of wind driven generator and storage medium

A technology for wind turbines and vibration signals, applied in computer parts, instruments, calculations, etc., can solve the problem that signal decomposition cannot highlight weak fault signals, etc.

Pending Publication Date: 2019-08-16
PUTIAN UNIV
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Problems solved by technology

[0006] To this end, it is necessary to provide a method for denoising electrical vibration signals of wind turbines and a storage medium to solve the problem that the existing VMD algorithm cannot highlight weak fault signals when decomposing signals

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  • De-noising method for electric vibration signal of wind driven generator and storage medium
  • De-noising method for electric vibration signal of wind driven generator and storage medium
  • De-noising method for electric vibration signal of wind driven generator and storage medium

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[0060] In order to explain in detail the technical content, structural features, achieved goals and effects of the technical solution, the following will be described in detail in conjunction with specific embodiments and accompanying drawings.

[0061] see figure 1 , the wind power generator electrical vibration signal denoising method described in the present embodiment, comprises the following steps:

[0062] Step S110: Decompose the vibration signal of the wind turbine into a set of modal components through the variational mode decomposition algorithm; the variational mode decomposition algorithm (Variational mode decomposition, VMD), that is, a multi-component signal adaptive decomposition method, through The optimal solution of the variational model is searched iteratively to determine the frequency center and bandwidth of each component, so that the frequency domain division of the signal and the effective separation of each component can be realized adaptively. The vi...

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Abstract

The invention relates to a de-noising method for an electric vibration signal of a wind driven generator and a storage medium. The method comprises the following steps: decomposing the vibration signal of the wind driven generator into a group of modal components through a variational modal decomposition algorithm; respectively calculating a multi-scale permutation entropy value of each modal component; judging whether the multi-scale permutation entropy value of each modal component exceeds a preset entropy value or not; if the multi-scale permutation entropy exceeds the preset entropy, performing noise reduction processing on the modal components with the multi-scale permutation entropy exceeding the preset entropy; and combining and reconstructing the modal component subjected to the noise reduction processing and the modal component not subjected to the noise reduction processing to obtain a vibration signal subjected to the noise reduction processing. Vibration signals are denoised through combination of variational mode decomposition and multi-scale permutation entropy, signal distortion can be effectively reduced, and the denoising effect is good.

Description

technical field [0001] The invention relates to the technical field of wind power generators, in particular to a method for denoising electrical vibration signals of a wind power generator and a storage medium. Background technique [0002] As a clean and renewable energy, wind energy has been paid more and more attention by people, and wind power generators are developing rapidly all over the world. How to ensure the stable and efficient operation of wind turbines has become a key technology. Vibration signals can reflect the internal information of the machinery, and the analysis of vibration signals is widely used in early fault diagnosis of rotating machinery. [0003] However, the actually collected vibration signals often contain a large number of interference signals due to various reasons. In the vibration signal preprocessing process, the interference signal must be filtered first. [0004] In signal noise processing, many methods have been researched and applied....

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Application Information

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IPC IPC(8): G06K9/00
CPCG06F2218/06
Inventor 陈学军郭晓君张杰王旭
Owner PUTIAN UNIV
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