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基于知识的机械设备故障诊断的解释学习问题
引用本文:王雪,李军旗,史铁林,杨叔子.基于知识的机械设备故障诊断的解释学习问题[J].华中科技大学学报(自然科学版),1994(7).
作者姓名:王雪  李军旗  史铁林  杨叔子
作者单位:华中理工大学机械科学与工程学院
基金项目:国家自然科学基金,国家“八五”重大科学攻关项目
摘    要:通过对机械设备中存在的因果诊断知识故障树模型的分析,提出了一种基于解释学习的产生规则的方法.在对诊断对象进行深入分析其知识表示的基础上,给出了知识编辑细化的框架.在此框架的基础上,得出了基于解释学习的知识归纳方法.还对解释学习中存在的效用问题进行了探讨,并提出提高其效用的策略.

关 键 词:解释学习  因果模型  可操作知识  启发性知识

Knowledge-Based Explanation Learning in Fault Diagnosis for Mechanical Equipment
Wang Xue of School of Mech.Sci.and Engin.,H.U.S.TWuhan ,Chna.,Li Junqi,Shi Tielin,Yang Shuzi.Knowledge-Based Explanation Learning in Fault Diagnosis for Mechanical Equipment[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,1994(7).
Authors:Wang Xue of School of MechSciand Engin  HUSTWuhan  Chna  Li Junqi  Shi Tielin  Yang Shuzi
Institution:Wang Xue of School of Mech.Sci.and Engin.,H.U.S.TWuhan 430074,Chna.,Li Junqi,Shi Tielin,Yang Shuzi
Abstract:On the basis of the analysis of a fault tree model with causal diagnosis knowledge,amethod of generation rule based on explanation learning is proposed.With the knowledgerepresentation for the diagnostic object,the framework for knowledge edition refinement isgiven and an induction method for the knowledge based on explanation learning has beenfound.The effectiveness of explanation learning is discussed and the strategy for its improvement is suggested.
Keywords:explanation learning  causal model  operatable knowledge  heuristic knowl-edge  
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