摘要
基于RBF神经网络的诊断模型,提取反映10 kV真空开关柜故障信息的电流信号,母线温度信号,电缆接头温度信号特征量等,用来训练神经网络。通过仿真,证明10 kV真空开关柜故障诊断系统高效、准确,可以推广应用。
Introduces a diagnosis model of RBF neural network and extracts current signal reflecting fault information of 10 kV vacuum switehgear within different current signal, generatrix temperature signal bus and cable connector temperature, which are used to train the neural network. The simulation results show that the system is effective and accurate, and can be popularized.
出处
《煤矿机电》
2012年第1期62-66,共5页
Colliery Mechanical & Electrical Technology
