电力系统电气设备故障自动化智能监测技术

Automaticintelligent monitoring technology for electrical equipment faults in power systems

电气设备出现故障会导致电气系统运行不稳定、设备寿命缩短以及其他潜在的安全隐患。为此,提出智能技术下的电力系统电气设备故障自动化监测。通过智能技术自动定位故障区域,使用模糊神经网络建立模糊诊断模型,通过反向调整权值完成故障诊断。提取设备产生振动信号,计算模糊模式隶属度,判断电气设备运行故障情况,实现电气设备故障自动化监测。实验结果表明,所提方法的故障定位时间仅为145 ms,且监测准确率较高,监测效果较好。

The failure of electrical equipment can lead to unstable operation of the electrical system,shortened equipment life,and other potential safety hazards.Therefore,an intelligent technology based automatic monitoring of electrical equipment faults in power systems is proposed.By using intelligent technology to locate the fault area,a fuzzy neural network is used to establish a fuzzy diagnosis model,and the fault diagnosis is completed by adjusting the weights in reverse.Extract vibration signals generated by equipment,calculate fuzzy mode membership degree,judge the operation fault situation of electrical equipment,and achieve automatic monitoring of electrical equipment faults.The experimental results show that the fault location time of the proposed method is only 145 ms,the monitoring accuracy is high,and the monitoring effect is good.