摘要
模糊神经网络是模糊逻辑与神经网络相结合而构成的 ,具备模糊技术和神经网络技术的优点 ,应用于电力系统故障诊断中 ,是一种使用方便的人工智能处理系统。基于模糊神经网络对无刷励磁同步发电机旋转整流器故障诊断进行研究。经过训练后的模糊神经网络 ,在对旋转整流器故障进行诊断时 。
Fuzzy neural network, which is a convenient artificial intelligent processing system, is made up of fuzzy logic and neural network.It has the merits of fuzzy technology and neural network technology.So this kind of diagnosis system can be used widely in diagnosing fault in power system.The fuzzy neural network of detecting the fault conditions of rotating rectifiers in synchronous generators with brushless excitation is studied in this paper.The paper introduces how to use the fuzzy neural network recognizing the faults to construct the diagnosis model so that the ability of diagnosing the faults has been increased effectively.
出处
《继电器》
CSCD
北大核心
2003年第8期8-11,共4页
Relay
