基于BP神经网络的绝缘子污秽度在线诊断研究  

Online Diagnosis of Insulator Contamination Based on BP Neural Network

作　　者：叶永卫[1] YE Yongwei(Shanxi Conservancy Technical Institute,Yuncheng 044000,China)

机构地区：[1]山西水利职业技术学院

出　　处：《现代信息科技》2019年第21期38-40,共3页Modern Information Technology

摘　　要：针对高压绝缘子污闪事故频繁发生,给电力系统造成巨大损失的状况,本文提出了一种基于BP神经网络的绝缘子污秽度在线检测系统,通过对绝缘子的表面泄漏电流采样、数据处理及样本训练后,仿真效果表明,该神经网络系统能达到在线检测绝缘子污秽度的要求。In view of the frequent occurrence of pollution flashover accidents of high-voltage insulator,which causes huge losses to the power system.In this paper,an online detection system of insulator contamination based on BP neural network is proposed.After the sampling,data processing and sample training of insulator surface leakage current,the simulation results show that the neural network system can meet the requirements of online detection of insulator contamination.

关 键 词：绝缘子 污秽度 BP神经网络 

分 类 号：TM216[一般工业技术—材料科学与工程] TP183[电气工程—电工理论与新技术]