电动机故障诊断的BP及RBF建模比较

Comparative of BP and RBF Artificial Neural Network on Model-building of Motor Fault Diagnosis

用BP人工神经元网络建立电动机故障诊断模型,泛化能力好,但逼近速度较慢;运用RBF人工神经元网络建模,泛化能力较差,但逼近速度快。该项研究克服了运用传统方法建模的不足,为实现电动机故障诊断模型的优化设计提供了可行的途径。

The model established by BP network has a good general ability and a slow impending speed, on the other hand, the model established by RBF neural network has a bad general ability and a fast impending speed. The lirnitations of the traditional model- identification methods were get rid of. A means to realize motor fault diagnosis m line control is provided.