摘要
介绍了应用人工神经网络进行DCS故障诊断知识学习的研究成果 ,并用实例对所采用的人工神经网格结构组成和学习算法进行了验证。
The research achievement of learning knowledge of fault diagnosis of DCS by using neural network is introduced. The structural compositions of the artificial neural network and learning algorithms are proven by practical examples.
出处
《自动化仪表》
CAS
北大核心
2001年第7期9-10,16,共3页
Process Automation Instrumentation
关键词
故障诊断
集散型控制系统
人工神经网络
专家系统
知识获取
Fault diagnosis Distributed control system Artificial neural network Expert system Knowledge acquirement
