Application of Chaotic Particle Swarm Optimization Algorithm in Remote Fault Detection of Electrical System

With the development of social economy, the industrial field has entered the era of automation control. Due to the complexity and uncertainty in the industrial environment, electrical system failures are becoming increasingly frequent. In this paper, a common fault and the application of remote PLC detection combined with chaotic particle swarm optimization algorithm formula in electrical system fault can show the problems and solutions. However, the realization of remote PLC detection shows that necessary condition monitoring and fault diagnosis are carried out to ensure the life safety of staff and the reliable, normal and university operation of equipment. Finally, this article mainly analyzes the three types of data detected by remote PLC for electrical system faults