Wind-power gear box fault diagnosis method based on wavelet medium-soft threshold and electronic-magnetic diaphragm (EMD)

A technology of wind power gearbox, semi-soft threshold, applied in the field of mechanical engineering

Inactive Publication Date: 2012-08-01
YANSHAN UNIV
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  • Claims
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Problems solved by technology

[0005] The problem to be solved by the present invention is to provide a wind power gearbox fault diagnosis method based on wavelet semi-soft threshol

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  • Wind-power gear box fault diagnosis method based on wavelet medium-soft threshold and electronic-magnetic diaphragm (EMD)
  • Wind-power gear box fault diagnosis method based on wavelet medium-soft threshold and electronic-magnetic diaphragm (EMD)
  • Wind-power gear box fault diagnosis method based on wavelet medium-soft threshold and electronic-magnetic diaphragm (EMD)

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Embodiment Construction

[0041] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0042] In the process of gear fault diagnosis, it is first necessary to use the acceleration sensor to measure the gearbox to obtain the vibration acceleration signal , and then decompose the vibration acceleration signal to extract the eigenvalues. The invention utilizes the EMD method to decompose the vibration acceleration signal.

[0043] A wind power gearbox fault diagnosis method based on wavelet semi-soft threshold and EMD in the embodiment of the present invention is as follows: figure 1 shown, including the following steps:

[0044] Step s101, use the acceleration sensor to measure the wind power gearbox, and obtain the vibration acceleration signal .

[00...

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Abstract

The invention discloses a wind-power gear box fault diagnosis method based on wavelet medium-soft threshold and electronic-magnetic diaphragm (EMD), which includes: A. measuring a wind-power gear box by utilizing an acceleration sensor to obtain vibration accelerator signals; B. performing wavelet analysis on the signals, performing de-noising preprocessing through a wavelet medium-soft threshold method to eliminate interfering noise and obtain de-noising signals; C. performing EMD analysis on the de-noising signals to obtain each intrinsic mode function (IMF) component; D. judging true and false of the IMF components according to the related coefficients between the IMF components and original signals, rejecting false IMF components, and analyzing true IMF components to obtain components containing fault characteristics; and E. obtaining envelope spectrums containing fault characteristic components to draw fault characteristics. The wind-power gear box fault diagnosis method combines wavelet medium-soft threshold de-noising and the EMD and is effective in fault characteristic information drawing.

Description

technical field [0001] The invention relates to the technical field of mechanical engineering, in particular to a wind power gearbox fault diagnosis method based on wavelet semi-soft threshold and EMD (Empirical Mode Decomposition, Empirical Mode Decomposition). Background technique [0002] Faced with the current situation of shortage of non-renewable energy sources, many countries are developing clean energy sources, mainly wind energy, solar energy, etc., but the largest scale is wind power generation. Wind energy is a clean and sustainable energy. Compared with traditional energy, it has the characteristics of convenient use, renewable, low cost, and no pollution. Therefore, wind power has gradually become an important part of sustainable development strategies in many countries. huge. With the widespread installation and use of wind turbines, the failure of wind turbines has become a problem that cannot be ignored. In recent years, in the failure statistics of the mai...

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Application Information

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IPC IPC(8): G01M13/02
Inventor 孟宗李姗姗顾海燕付立元梁智
Owner YANSHAN UNIV
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