RESEARCH ON WIND TURBINE BLADE DAMAGE IDENTIFICATION METHOD BASED ON THERMAL INFRARED IMAGE

Yin Yu; Zhang Yong; Wang Jian; Wu Guojing; Su Lide; Wang Chaoyu

doi:10.19912/j.0254-0096.tynxb.2020-0592

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (2) : 492-497. DOI: 10.19912/j.0254-0096.tynxb.2020-0592

RESEARCH ON WIND TURBINE BLADE DAMAGE IDENTIFICATION METHOD BASED ON THERMAL INFRARED IMAGE

Yin Yu, Zhang Yong, Wang Jian, Wu Guojing, Su Lide, Wang Chaoyu

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Abstract

A calculation method to identify the damage, damage position and size of the wind turbine blade based on thermal infrared image is put forward in this paper to tackle the problems of manual detection efficiency low and the large influence caused by operators. It has been developed and achieved on the Matlab 2019b platform through digital image processing technology. It adopts the contrast stretch, Gabor filtering and binarization threshold segmentation to extract the damage features from the thermal infrared image of wind turbine blade with artificial damage, locates the position of abrasive damage through center of mass, and represents the damage position of cracks through two endpoints. The method makes the automatic identification and measurement of the damage for the wind turbine blade, which improves the detection efficiency of such damage. Experimental results show that this method has high accuracy in wind turbine blade damage identification.

Key words

wind turbines / blades / infrared thermal imaging / image processing / damage identification

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Yin Yu, Zhang Yong, Wang Jian, Wu Guojing, Su Lide, Wang Chaoyu. RESEARCH ON WIND TURBINE BLADE DAMAGE IDENTIFICATION METHOD BASED ON THERMAL INFRARED IMAGE[J]. Acta Energiae Solaris Sinica. 2022, 43(2): 492-497 https://doi.org/10.19912/j.0254-0096.tynxb.2020-0592

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