A Method for Icing Detection and Thickness Estimation of Overhead Contact Wire
The electrified railway catenary is a catenary line set up along the railway to provide electric energy for electric locomotives.When the catenary is frozen,the mechanical and electrical performance will decline,which will affect the electric locomotive's flow,produce arc burning phenomenon,and ablate the contact line and pantograph slide board.In serious cases,the catenary will collapse and the pantograph slide board will break,leading to serious safety accidents.The purpose of this paper is to provide a method based on deep learning for railway catenary traverse icing detection and thickness estimation.This method uses the instance segmentation technology in deep learning to realize the icing detection of railway catenary traverse,and calculates the icing thickness by combining the marked prior information,which can cope with complex changing scenes.Moreover,the accuracy and real-time performance meet the actual demand of railway overhead contact line icing detection.
万方数据
维普
