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.
关键词
PSO算法/神经网络/公共建筑/电气设备/绝缘故障/诊断系统
Key words
PSO algorithm/neural network/public buildings/electrical equipment/insulation fault/diagnostic system
维普
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