摘要
针对高压断路器的故障诊断,通过分析断路器的合闸电流波形,提取相应的特征量作为神经网络的输入量,利用Matlab工具,使用样本数据通过故障诊断仿真实例分析验证BP与RBF神经网络的性能并进行对比分析,结果显示RBF神经网络训练速度快,逼近误差小,分类性能好,高压断路器故障诊断具有很强的实用性和准确性。
On account of the fault diagnosis of high voltage circuit breaker, compares the performance of BP and RBF neural network through fault diagnosis simulation examples by analyzing switch on waveform of circuit breaker, extracting relevant features value as the input of neural network, using Matlab tools and sample data. The result shows fast speed of RBF neural network training, low approximation error, good classification performance. The fault diagnosis of high voltage circuit breaker has strong application and accuracy.
出处
《煤矿机电》
2013年第3期8-11,共4页
Colliery Mechanical & Electrical Technology
关键词
高压断路器
故障诊断
BP神经网络
RBF神经网络
high voltage circuit breaker
fault diagnosis
BP neural network
RBF neural network
