摘要
针对传统绝缘监测装置无法监测出带整流器负载的IT系统绝缘监测问题,提出利用基于LM算法的BP神经网络方法,搭建系统的仿真模型,通过对特征信号的提取,对系统的绝缘电阻值进行实时监测。分析结果表明,系统的绝缘电阻值与系统直流侧和交流侧的绝缘状态都有关。通过BP神经网络能同时反映系统交流侧与直流侧的绝缘状态,判断出系统绝缘下降的原因。
In view of the traditional insulation monitoring device can not detect the problem of IT system with rectifier load insulation monitoring,the simulation model of the system is established according to the method of BP neural network based on LM algorithm,and insulation resistance of the system is monitored in real time by means of characteristic signal extraction. As shown in the analysis result,insulation resistance of the system relates to the insulation state of both DC side and AC side. The state of both sides mentioned above can be shown at the same time by BP neural network,and therefore the cause of system insulation degradation can be determined.
出处
《建筑电气》
2016年第4期46-50,共5页
Building Electricity
关键词
IT系统
绝缘监测
绝缘下降
整流器负载
交直流混合系统
BP神经网络
直流注入法
仿真分析
IT system
insulation monitoring
insulation degradation
rectifier load
AC and DC hybrid system
BP neural network
DC signal injection
simulation analysis
