Positioning and detection method and system for crack position of wind turbine blade

A wind turbine blade, positioning detection technology, which is applied in processing the detected response signal, using sonic/ultrasonic/infrasonic waves to analyze solids, instruments, etc. Simple calculation steps and accurate results

Active Publication Date: 2019-03-29
HUNAN UNIV OF SCI & TECH
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  • Abstract
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  • Claims
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Problems solved by technology

[0005] The purpose of the present invention is to provide a wind turbine blade crack location detection m

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  • Positioning and detection method and system for crack position of wind turbine blade
  • Positioning and detection method and system for crack position of wind turbine blade
  • Positioning and detection method and system for crack position of wind turbine blade

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Embodiment Construction

[0052] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0053] The object of the present invention is to provide a method and system for locating and detecting cracks in wind turbine blades, which can improve the positioning accuracy of cracks in wind turbine blades.

[0054] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

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Abstract

The invention discloses a positioning and detection method and a system for crack positions of a wind turbine blade. The positioning and detection method comprises the following steps: marking the wind turbine blade, and determining a plurality of mark point positions; collecting a non-cracking nonlinear vibration response signal of each mark point position when the wind turbine blade is not cracked and a cracked nonlinear vibration response signal of each mark point position when the wind turbine blade has a crack for a same piece of wind turbine blade under a same working state; calculatinga mutual information entropy of nonlinear vibration response signals before and after crack damage occurs at each mark point position according to the non-cracking nonlinear vibration response signaland the cracked nonlinear vibration response signal; calculating a vibration response nonlinear degree change amount before and after crack damage occurs at each mark point position according to the mutual information entropy; and determining the crack position according to the vibration response nonlinear degree change amount. The positioning accuracy of the crack position of the wind turbine blade can be improved by adopting the positioning and detection method and system provided by the invention.

Description

technical field [0001] The invention relates to the field of crack detection of wind turbine blades, in particular to a position detection method and system for cracks of wind turbine blades. Background technique [0002] Among many fault detection and diagnosis technologies, the vibration detection method has the characteristics of fast diagnosis speed, high accuracy, accurate diagnosis position and online monitoring, and has been widely used in the field of structural crack detection. , frequency response function and other methods. [0003] In the prior art, although the method of using the frequency response function is widely used, this method is mostly based on the linear assumption. However, as a typical local phenomenon, the impact of the crack on the natural frequency of the structure is not obvious; at the same time, the wind turbine The blade is made of composite materials, and the blade itself has certain nonlinear characteristics. Due to the huge size of the wi...

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Application Information

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IPC IPC(8): G01N29/04G01N29/48
CPCG01N29/04G01N29/48G01N2291/023G01N2291/0289
Inventor 蒋勉王昭文伍济钢张文安王文韫
Owner HUNAN UNIV OF SCI & TECH
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