Intelligent Diagnostic Techniques of Transmission Lines Corona Discharge Defect Based on Ultraviolet Detection from Unmanned Aerial Vehicle
Peng Xiangyan · Gao dianya jishu · 2014
Insulator diagnosis is an important task for power grid maintenance. Taking the ultraviolet(UV) images from unmanned aerial vehicle(UAV) as the experiment data, we experimentally diagnosed abnormality of the power grid. Firstly, UV images were selected from continues UV video. Secondly, suspected discharge areas were detected using the Otsu method and region grown method. Finally, locations of anomaly of high-voltage power lines insulators are obtained via the position and time synchronization information. Experimental results show that this method can automatically detect abnormal discharge position of insulators. The proposed method can be applied for power grid maintenance.