Research and Verification of the Defect Detection System of Wind Turbine Blade in Different Color
Targeting at the problems of low detection accuracy,high risk factor and high equipment price of current detection methods for wind turbine blade defects,an unmanned aerial vehicle( UAV) detection system for wind turbine blade defects based on LabVIEW is presented. In this system the hardware platform and system software design are implemented,the image processing algorithm is studied, and the detection method using edge extraction is also proposed to solve the problem that different color threshold values of wind turbine blades are different in the traditional binary algorithm. The detection results of edge extraction defect detection operator and combination operator in LabVIEW are compared through theoretical analysis and experiments,and the Sobel operator is finally determined to be ap-plied to this wind turbine blade defect detection system. Experiments show that the system can detect the defect of different color wind turbine blades automatically and at low cost,and the detection accuracy is up to 93％.
defect detectionwind turbine bladesobel operatorUAValgorithm verification of Labview
万方数据
维普
