전기철도 안정도 향상을 위한 고장점 표정에 관한 연구

Abstract

The industrial revolution leads to the development of industry and the increase of industry. The railway is a new way of promoting the transportation industry in the future and is empirical. In order to develop the living environment of the family, it is necessary to improve the human living environment. Problems such as failure measures and operation delays caused by the increase of the operating distance and utilization rate of electric railway are occurring, and the demand therefor is also rising, and it is urgent to improve the stability for the quick repair and maintenance of the railway. Failures due to electric railways have a wide range of impacts and failures due to human or physical factors can not be totally excluded. In other words, a system is needed to secure the stability and reliability of electric railway. The high-strength facial expression system is a system that can accurately identify high-grade facial expressions and actual incident points when a fault occurs in an electric railway. Electric railways are widely distributed, and it is important to accurately identify and deal with faults in these environments. For this purpose, it is necessary to study the improvement of the stability and the error between the point of view in the high - strength facial expression system and the actual point of accident in the field. In this paper, we focused on improving the stability using the high - esteem facial expressions, and presented the algorithm for accurate high - esthetic facial expressions. In this way, it is possible to shorten the time of accident restoration and maintenance by minimizing the expression error of the high-strength facial expression system, and to improve the stability of the electric railway through the technique of accurately grasping the fault point of various accidents of the electric railway.