摘要
文中介绍了一种基于人工神经网络的设备故障检测和诊断方法,其ANN集是用基于知识的解析冗余关系组织的,并用遗传算法进行ANN的设计和训练。将该方案用于感应式发动机的故障诊断,以评估该方案的性能。
This paper presents an instrument fault detection and isolation method based on Artifical Neural Network(ANN).The set of ANN is organized on the basis of knowledge-based analytical redundancy relationships. The Genetic Algorithm is used to design and train ANN. The method is used to diagnose the fault of induction motors to evaluate its performance.
出处
《计算机应用》
CSCD
北大核心
2004年第2期59-61,共3页
journal of Computer Applications
关键词
人工神经网络
遗传算法
故障诊断
artifical neural network
genetic algorithm
fault diagnosis
