基于神经网络的电动机故障诊断设计(英文)

Design of motor fault diagnosis based on neural network

以神经网络模型理论和智能控制技术为基础,研究了径向基函数(RBF)神经网络的模型结构及其在交流电动机故障诊断中的实现方法。结果表明:RBF神经网络的训练速度更快,逼近误差更小,能够更加有效地解决交流电动机故障诊断问题。

In this paper, it studies the model structure of radial basis function （RBF） neural network and the im- plementation of AC motor fault diagnosis based on neural network theory and intelligent control technology. The re- sult shows that using RBF neural network can more effectively address the problem of fault diagnosis of AC motors for its fast training speed and its smaller approximation error.