电工技术学报2000，Vol.15Issue(3)：53-56,4.
基于混沌神经网络动态联想记忆的电机故障诊断
Rotor Fault Diagnosis of Induction Motors Based of a Dynamic Associative Memory of Chaotic Neural Network
摘要
Abstract
An associative neural network is used with chaotic ne ural models interconnected through a conventional autoassociative matrix of sy naptic weights.Dynamic associative memory and essential characteristics of chaot ic neural network is dealt with:nonperiodic chaos,chaotic attractors and sensiti vity to starting condition.In the paper faults of three phase induction motors w ith broken bars is diagnosed using dynamic associative memory of chaotic neural network.Diagnose result suggest that the chaotic neural network is beneficial to dynamic memory retrieval and faults identification.And chaotic neural network h as fault tolerance.关键词
神经网络/混沌/动态联想记忆/故障诊断/异步电动机Key words
Neural network Chaos Dynamic associative memory Fau lt diagnose Induction motors分类
信息技术与安全科学引用本文复制引用
曹志彤,陈宏平..基于混沌神经网络动态联想记忆的电机故障诊断[J].电工技术学报,2000,15(3):53-56,4.基金项目
浙江省教委基金资助项目。 （）
