Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Wind turbine blade fault monitoring method and equipment based on acoustic sensor array

A technology of wind turbines and wind blades, applied in the monitoring of wind turbines, wind turbines, mechanical equipment, etc., can solve the problems of low management efficiency and high operation and maintenance costs, reduce maintenance time, improve operation and maintenance efficiency, increase The effect of robustness

Active Publication Date: 2021-03-30
大连赛听科技有限公司
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a wind turbine blade fault monitoring method and equipment based on an acoustic sensor array to solve the problems of high operation and maintenance costs and low management efficiency in blade working condition monitoring

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 turbine blade fault monitoring method and equipment based on acoustic sensor array
  • Wind turbine blade fault monitoring method and equipment based on acoustic sensor array
  • Wind turbine blade fault monitoring method and equipment based on acoustic sensor array

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0058] Such as figure 1 , Figure 5 , figure 1 A schematic diagram of the location of the acquisition array and the wind generator provided by the embodiment of the present invention; Figure 5 The flow block diagram provided for the embodiment of the present invention; the wind turbine blade fault monitoring method based on the acoustic sensor array, including a wind generator, the wind generator includes several wind blades, and the wind blades rotate around the tower, this embodiment In the middle are three wind blades, such as figure 1 The wind blade 1, the wind blade 2, and the wind blade 3, wherein the wind blade 1, the wind blade 2, and the wind blade 3 rotate around the tower, also include the following steps:

[0059] S1. Deploy the acquisition array, and pick up the sound signal of the blade through the acquisition array;

[0060] Such as figure 1 , the acquisition array is fixed on the bottom of the support rod of the wind turbine through bolts, and is in the s...

Embodiment 2

[0105] The monitoring equipment based on the acoustic sensor array-based wind turbine blade failure monitoring method includes a wind generator, the wind generator includes several wind blades, and the wind blades rotate around the tower, and also includes;

[0106] Deployment module, for deploying acquisition array;

[0107] It also includes: the collection array is in the same plane as the rotating surface of the wind blade; at the same time, when the perpendicular line of the line segment of the wind blade passes through the midpoint of the collection array, the collection array is parallel to the wind blade;

[0108] The enhancement module is used to enhance the blade sound signal picked up by the acquisition array, and construct a CNN fault judgment model;

[0109] It also includes: dividing the wind blades into m areas in units of n meters, the acquisition array determines a direction for each area, obtains m directions, and performs signal enhancement on the m direction...

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 present invention relates to a wind power generator blade fault monitoring method and equipment based on an acoustic sensor array, S1, deploying an acquisition array, and fixing the acquisition array on the bottom of a support pole of the wind power generator; S2, enhancing the blade sound signal picked up by the acquisition array and construct a CNN fault judgment model; S3, locate the fault location of the faulty blade; S4, suppress the direction of strong interference and return to step S3; S5, after locating the fault location, locate the faulty wind blade. The present invention deploys the collection array at the bottom of the wind power generator to collect sound signals from the wind blades in a non-contact manner, thereby effectively reducing deployment and operation and maintenance costs.

Description

technical field [0001] The invention relates to the field of blade fault monitoring, in particular to a wind power generator blade fault monitoring method and equipment based on an acoustic sensor array. Background technique [0002] With the development of society, people pay more and more attention to environmental pollution. Traditional power generation methods based on chemical energy (coal, oil, natural gas) are increasingly restricted, while nuclear power generation has a problem of huge initial investment. Power generation and solar power are gaining more and more attention. Wind power is a renewable and clean energy with low environmental pollution, high degree of automation, and easy remote control. It is very suitable for solving the power supply demand in sparsely populated areas where the power grid is not easy to reach. Therefore, wind power has important economic and social benefits. . [0003] Blades are the key components of wind power generators (hereinaft...

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
Patent Type & Authority Patents(China)
IPC IPC(8): F03D17/00G06N3/04
CPCF03D17/00G06N3/045Y04S10/50
Inventor 胡晓宇代金良
Owner 大连赛听科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
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