Wind turbine blade crack diagnosis method and device

A technology of wind turbine blade and diagnosis method, which is applied in wind turbine, wind turbine monitoring, engine and other directions, can solve the problems of inconspicuous surface texture characteristics of early cracks, affecting the accuracy and accuracy of diagnosis, and achieves good diagnosis effect, The effect of avoiding the feature extraction process and eliminating measurement errors

Inactive Publication Date: 2020-10-27
HUNAN UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In this patent document, cracks are identified through blade images, and in practical applications, the surface texture characteristics of early cracks are not obvious and other factors are limited.
Although the deep learning method has been applied in the field of fault

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  • Wind turbine blade crack diagnosis method and device
  • Wind turbine blade crack diagnosis method and device
  • Wind turbine blade crack diagnosis method and device

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Embodiment Construction

[0041] The following are specific embodiments of the application and in conjunction with the accompanying drawings, further describe the technical solution of the application, but the application is not limited to these embodiments. In the following description, specific details, such as specific configurations and components, are provided only to help a comprehensive understanding of the embodiments of the present application. Accordingly, those of ordinary skill in the art should recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the application. Also, descriptions of well-known functions and constructions are omitted for clarity and conciseness.

[0042] It should be noted that, in the case of no conflict, the implementations in the present application and the features in the implementations can be combined with each other.

[0043] figure 1 It is a flow chart of a method for diag...

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Abstract

The invention provides a wind turbine blade crack diagnosis method and device, and relates to the technical field of wind turbine fault diagnosis, and the method comprises the steps: obtaining a plurality of blade images, continuously collected by binocular camera equipment at a preset frame rate, of wind turbine blades under the application of preset excitation; arranging a plurality of marks onthe wind turbine blades; identifying a mark on the leaf image and determining a space coordinate of the mark so as to generate space vibration data of the mark; intercepting continuous preset frame data from the marked spatial vibration data to serve as initial data; wherein each frame of leaf image corresponds to one frame of data; correspondingly mapping the vibration data of each mark in the initial data in the X-axis direction, the Y-axis direction and the Z-axis direction to R, G and B components on the image so as to generate a fused image fused with the vibration information of each mark; and diagnosing the crack of the wind turbine blades according to the fused image. The wind turbine blade crack diagnosis method has a good effect in wind turbine blade crack diagnosis.

Description

technical field [0001] The present application relates to the technical field of fault diagnosis of wind turbines, in particular to a method and device for diagnosing cracks in wind turbine blades. Background technique [0002] Wind turbine blades are the key components for wind turbines to capture wind energy. During operation, the safety and reliability of the blades have a very important impact on the entire wind turbine, and its performance will directly affect the stable operation of the entire wind turbine. Due to the long-term impact of multiple loads on the blade and the corrosion of nature, it usually leads to the failure of the blade to cause fatigue cracks or fractures. At the same time, repairing cracks in wind turbine blades requires a lot of downtime. Therefore, regular diagnosis of the health status of wind turbine blades has significant economic benefits. [0003] At present, most of the samples constructed in fault diagnosis research are based on the vibr...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06K9/62G06N3/04F03D17/00
CPCG06T7/0002F03D17/00G06N3/045G06F18/253G06F18/214
Inventor 王文韫邹龙洲郭迎福全伟铭张磊安
Owner HUNAN UNIV OF SCI & TECH
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