Method and system applied to in-situ crack detection of wind generator blade

Abstract

The invention discloses a method and a system applied to the in-situ crack detection of a wind generator blade. The method comprises the following steps: obtaining static responses of the wind generator blade under the condition that different loads are loaded by using an optic fiber grating sensor; calculating a Chi-square distribution curve among the static responses of the wind generator blade when the different static loads are loaded, and carrying multinomial reconstitution on the Chi-square distribution curve to obtain reconstruction curves; and by taking the Chi-square distribution reconstruction curves as different information sources, carrying out information fusion by using the reconstruction optimal accumulation theory to obtain an information fusion degree curve, and identifying the position of a crack of the wind generator blade according to the position of a maximum value of the information fusion degree curve. According to the method and the device, only the static responses of the wind generator blade when the different static loads are loaded are required; any data under the condition that the wind generator blade is complete is not required; the calculation is quick and accurate; the method and the device are simple, and liable to implement and are applicable to real-time health monitoring of the wind generator blade.

Description

technical field [0001] The invention belongs to the field of non-destructive testing of structural dynamics, and in particular relates to a method and system for detecting in-situ cracks of blades of wind power generators. Background technique [0002] The development of renewable energy has become an important development strategy to ensure energy security and address climate change, and wind energy, as a clean renewable energy with great development potential and relatively mature development technology, has attracted more and more attention from all countries in the world. The fastest growing renewable energy source. my country has abundant wind energy resources due to its superior geographical location, which provides favorable conditions for the vigorous development of my country's wind power industry, and my country's cumulative installed capacity of wind power surpassed the United States in 2010 to become the world's first. The main problem of wind power generation s...

AI Technical Summary

Problems solved by technology

The main problem of wind power generation system is that the cost of operation and maintenance is relatively high. As its key component, wind turbine blades play an important role in the conversion of wind energy and electric energy. Its structural health monitoring is very important for maintaining the stability of wind power generation system. It has an important impact on reducing the maintenance cost of the wind power generation system, and the damage form is caused by the expansion of cracks, so the on-site detection of cracks on wind turbine blades is an important guarantee for the stable and reliable operation of wind turbine blades. However, using the traditional non-destructive testing technology of wind turbine blades to detect cracks in wind turbine blades takes a long time and has a great impact on economic benefits.

[0003] Patent applications with application numbers CN201210144547.7 and CN201320509812.X propose an acoustic-based nondestructive testing method for blades, but the above method must be equipped with a special sound wave transceiver, and due to the characteristics of sound waves, the detection process is easily disturbed by background noise

System cost, detection accuracy still has room for improvement

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