Study on visual detection method for wind turbine blade failure

International Conference on Energy Engineering and Environmental Protection 2017

能源学;生态环境科学

Chen, Jianping^1 ; Shen, Zhenteng^1

College of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin

300222, China^1

关键词: Early Warning System;    Engineering applications;    Image processing technology;    Nondestructive testing method;    Threshold segmentation;    Vibration detection;    Visual inspection method;    Wind turbine blades;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/121/4/042031/pdf
DOI  :  10.1088/1755-1315/121/4/042031

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Start your abstract here...At present, the non-destructive testing methods of the wind turbine blades has fiber bragg grating, sound emission and vibration detection, but there are all kinds of defects, and the engineering application is difficult. In this regard, three-point slope deviation method, which is a kind of visual inspection method, is proposed for monitoring the running status of wind turbine blade based on the image processing technology. A better blade image can be got through calibration, image splicing, pretreatment and threshold segmentation algorithm. Design of the early warning system to monitor wind turbine blade running condition, recognition rate, stability and impact factors of the method were statistically analysed. The experimental results shown showed that it has highly accurate and good monitoring effect.