Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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
View PDF8 Cites 60 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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 threshold and EMD, so as to overcome the defects that false signals and false frequencies are easily generated in the fault diagnosis process of the prior art

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • 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)

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01M13/02
Inventor 孟宗李姗姗顾海燕付立元梁智
Owner YANSHAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com