摘要
文章介绍了一种基于模糊逻辑理论的人工神经网络,提出了利用模糊数学对神经网络的输入进行预处理的方法,并 将其应用于变压器故障的诊断,提高了IEC比值法诊断变压器故障的复杂性和准确性。
In this paper, an artificial neural network based on fuzzy logic theory is proposed. It is applied to fault diagnosis of transformer ,and data pretreatment of the neural network is achieved by fuzzy math theory, which enhance the veracity and reliability of diagnosis with conventional EEC three ratio method in power transformer .
出处
《闽江学院学报》
2004年第5期27-30,33,共5页
Journal of Minjiang University
关键词
模糊理论
神经网络
变压器
故障
诊断
Fuzzy Theory
Neural Network
Transformer
Fault
Diagnosis
