摘要
首先介绍了故障诊断专家系统中的三种类型的知识 ,即经验知识、因果知识和第一定律知识 ;然后分析了常用的机器学习方法在故障诊断系统的作用 ,并在此基础上将诊断系统中的学习方法分为三种类型 ,即简单学习、交互学习和独立学习 ;最后阐述了故障诊断与机器学习的运行流程及其相互关系 .
Machine learning is playing a more and more important role in fault diagnosing expert systems. Three kinds of knowledge in diagnosing systems are introduced, namely the experience knowledge, causal knowledge and the first law knowledge. Then, we analyze the role of a few existing learning and, on the basis of the above discussion, divide the learning in diagnosing expert systems into three parts, i.e.simple learning, interactional learning and independent learning. Finally the frame of fault diagnosis and machine learning is given and the viewpoint that diagnosis and learning are an entity is explained.
出处
《西安建筑科技大学学报（自然科学版）》
CSCD
2000年第1期89-92,共4页
Journal of Xi'an University of Architecture & Technology(Natural Science Edition)
