Switchgear fault detection and diagnosis system based on digital and shape combination

Abstract

Switchgear is a very common power equipment, and the detection and maintenance of its fault is very important. Only to ensure the reliability of switchgear can ensure the normal operation of the entire power system. In order to reduce the influence of the harm to power system fault, we want to make a system for real-time monitoring of it, the switchgear in internal fault occurs, the system can quickly alert and locate the fault location. Maintenance personnel can quickly take some protective measures to furthest reduce the harm of other electrical equipment and power workers. This project develops a set of switchgear fault monitoring and diagnosis system with the help of four-star time difference positioning method and the organic combination of data and graphics by LABVIEW and SOLIDWORKS. In addition, according to the simulation of heat conduction at the discharge position, the temperature measuring device is used as an auxiliary device to monitor the discharge position, distinguish the temperature difference between the fault point and the normal operation of the equipment, then find the fault point location.