GPR-based high-precision passive-support fiber ice coating detection method for power transmission lines.

A novel monitoring method based on fiber Bragg grating sensor for detecting the ice coating on power transmission lines is proposed and demonstrated in this study. Sensors are installed on transmission line towers to monitor micrometeorological information and machine learning algorithms based on Gaussian processes use the real-time monitoring results to predict the ice thickness on the lines. The experimental results prove that the mean squared error and mean absolute percentage error values between the predicted and actual values are both less than 1%. This is the first time that only micrometeorological information has been used to monitor ice thickness.