Design of Insulation Fault Diagnosis System for Electrical Equipment in Public Buildings Based on PSO
Long working hours of electrical equipment in public buildings during energy conversion can cause insula-tion faults in the equipment lines,resulting in the equipment being unusable.For this purpose,a PSO based insulation fault diag nosis system for electrical equipment in public buildings was designed.Build a framework for insulation fault diagnosis system for electrical equipment in public buildings,analyze the functions of each hardware module of the system,and complete the hardware design of the system.Based on the B/S structure,determine the system soft-ware structure,and combine PSO algorithm and neural network to achieve insulation fault diagnosis of electrical e-quipment in public buildings.The experimental results show that the average fault diagnosis time of the system is only 7.29 ms,and the vibration amplitude and voltage current changes at the fault location are consistent with the actual situation.It has good fault diagnosis effect and can effectively improve the accuracy and efficiency of fault diagnosis.
PSO algorithmneural networkpublic buildingselectrical equipmentinsulation faultdiagnostic system
万方数据
维普
