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复杂系统基于混合知识模型的智能故障诊断技术
引用本文:朱永娇,刘洪刚. 复杂系统基于混合知识模型的智能故障诊断技术[J]. 湖南城市学院学报(自然科学版), 2007, 16(2): 66-69
作者姓名:朱永娇  刘洪刚
作者单位:长沙学院,计算机科学与技术系,长沙,410003;国防科技大学,航天与材料工程学院,长沙,410073
摘    要:系统阐述了复杂系统故障诊断知识的概念、类别和相互关系,研究发展了定性和定量、浅层和深层、模糊和动态等多种诊断知识的获取方式和集成组织模型,建立了因果、结构和模型等不同层次和类别诊断知识的面向对象表示方法,提出了综合多层次和多类别诊断知识的智能故障诊断理论和策略.该策略能有效提高故障诊断的准确性以及诊断推理的效率.

关 键 词:智能故障诊断  混合知识模型  复杂系统  面向对象
文章编号:1672-7304(2007)02-0066-04
修稿时间:2006-12-30

Intelligent Fault Diagnosis Methods for Complex Systems Based on Hybrid Knowledge Model
ZHU Yong-jiao,LIU Hong-gang. Intelligent Fault Diagnosis Methods for Complex Systems Based on Hybrid Knowledge Model[J]. Journal of Hunan City University:Natural Science, 2007, 16(2): 66-69
Authors:ZHU Yong-jiao  LIU Hong-gang
Affiliation:1 Department of Computer Science and Technology, University of Changsha, Changsha 410003 China; 2. Aerospace and Material Academy National University of Defense Technology, Changsha 410073 China
Abstract:The correlation, the concept and the types of knowledge in the fault diagnosis of complex systems are firstly described systematically. Then the acquisition ways and an integrative organization model of different knowledge are discussed and studied such as the qualitative and quantitative knowledge, shallow and deep knowledge, fuzzy and dynamic knowledge. The object-oriented way of diagnosis knowledge representation for causality, structure, and model is also proposed. At last, an intelligent fault diagnosis theory and strategy is developed which utilizes synthetically different kinds of diagnosis knowledge and can improve the veracity and efficiency of diagnosis effectively.
Keywords:Intelligent fault diagnosis   hybrid knowledge model   complicate system   object-oriented
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