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| 故障诊断专家系统中机器学习方法的研究 | |
| 引用本文： | 陈新中,王道平,王建斌. 故障诊断专家系统中机器学习方法的研究[J]. 西安建筑科技大学学报(自然科学版), 2000, 32(1): 89-92 |
| 作者姓名： | 陈新中 王道平 王建斌 |
| 作者单位： | 1. 西安全明达辐照电缆公司,陕西西安,710014 2. 河北经贸大学,河北石家庄050061 3. 西安建筑科技大学,陕西西安,710055 |
| 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。 |
| 关 键 词： | 机器学习 知识获取 故障诊断 专家系统 |
| 文章编号： | 1006-7930(2000)O1-0089-04 |
| 修稿时间： | 1999-11-10 |
Research on the machine learning method in fault diagnosing expert systems |
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| CHEN Xin-zhong,WANG Dao-ping,WANG Jian-bin. Research on the machine learning method in fault diagnosing expert systems[J]. Journal of Xi'an University of Architecture & Technology, 2000, 32(1): 89-92 | |
| Authors: | CHEN Xin-zhong WANG Dao-ping WANG Jian-bin |
| Affiliation: | CHEN Xin-zhong ;(Jinmingda Radiation Cable Company Ltd.Xi'an 710014,China);WANG Dao-ping ;(Hebei University of Economics and Trade,Shijiazhuang 050061,China);WANG Jian-bin ;(Xl'an Univ.of Arch.&.Tech.,Xi'an 710055,China) |
| Abstract: | 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. |
| Keywords: | machine learning knowledge acquiring fault diagnosis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |