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基于神经网络的设备故障诊断
引用本文:曾凡智,李凤保. 基于神经网络的设备故障诊断[J]. 计算机应用, 2004, 24(2): 59-61
作者姓名:曾凡智  李凤保
作者单位:佛山科学技术学院,计算机系,广东,佛山,528000;中国工程物理研究院,计算所,四川,绵阳,621900
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。

关 键 词:人工神经网络  遗传算法  故障诊断
文章编号:1001-9081(2004)02-0059-03

Instrument Fault Diagnosis Based on Artifical Neural Network
ZENG Fan-zhi,LI Feng-bao. Instrument Fault Diagnosis Based on Artifical Neural Network[J]. Journal of Computer Applications, 2004, 24(2): 59-61
Authors:ZENG Fan-zhi  LI Feng-bao
Affiliation:ZENG Fan-zhi~1,LI Feng-bao~2
Abstract: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.
Keywords:artifical neural network  genetic algorithm  fault diagnosis  
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