模糊神经网络在电气设备故障检测与诊断中的应用

电力变压器故障的机理难以应用准确的数学模型加以描述，故障现象与故障原因之间存在着很多不确定因素。本文应用人工网络理论，并利用模糊理论预处理数据，建立了基于模糊神经的变压器故障检测诊断模型。结果表明，该方法对变压器进行故障检测诊断是有效的，同时对其它电气设备的故障诊断也具有参考意义。

The application of a fuzzy neural network to fault detection and diagnosis of electric equipment

It is difficult to use a precise mathematical model to describe the fault mechanism of transformers.There are many uncertain factors between the phenomena and causes of the faults.This paper applies neural networks to building the model of fault diagnosis of transformers,and also uses fuzzy mathematics to deal with the data in advance.The experiments prove that this method is effective and can also be applied to the fault diagnosis of other electric equipment.