基于模糊神经网络的异步电动机故障诊断研究

在对当前的检测方法与故障诊断手段研究的基础上,提出了基于模糊神经网络的故障诊断方法。该方法利用改进的BP算法,提高了学习速率,增强了稳定性。同时,针对异步电动机常见的故障特点,运用该诊断模型,对异步电动机故障进行了诊断。仿真结果表明：它具有准确度高,诊断速度快等优点,是一种较实用的故障诊断方法。

Fault Diagnosis of Asynchronous Motor Based on Fuzzy Neural Network

Based on the study state at home and abroad,a fault diagnosis of fuzzy neural network was proposed.Through using improved BP algorithm,This method raised the study speed,and strengthened the stability.At the same time,the praclical example was presented to use this diagnostic model diagnosed the fault of asynchronous motor based on the characteristic of it.The simulation result indicated that this diagnosis method had a higher accuracy,and quicker speed,So it became a practical fault diagnosis method.