Machine Vision Based Traveling Wavefront Calibration Method

The traveling wavefront calibration is an important part of fault location for transmission lines, which determines the accuracy of the fault location. In this article, we propose a machine vision-based wavefront calibration method to improve the fault location accuracy. Firstly, the cumulative sum of fault current signal is obtained to detect the starting point, which helps extract the image of the fault current. Then, the Radon transform is applied to the obtained image, and each wavefront corresponds to a most sensitive angle. Finally, according to the angles and projection lines, the arriving time of each wavefront can be calculated. By this means, the fault current data is transformed into image processing, and more accuracy arriving times of the wave fronts can be obtained.