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120-1空气制动机故障诊断专家系统的研究
引用本文:王金双,袁兵,李纪欣.120-1空气制动机故障诊断专家系统的研究[J].数字社区&智能家居,2007,2(5):762-763,768.
作者姓名:王金双  袁兵  李纪欣
作者单位:[1]太原科技大学计算机科学与堪术学院,山西太原030006 [2]中国电子科技集团公司33所,山西太原030006
摘    要:针对120-1空气制动机的故障特点,本文利用故障树分析法结合逻辑编码的方式建立知识规则集。在知识表示上采用“框架+产生式规则”的方式,并用数据库理论完成了知识库表结构的设计,利用正向推理和基于单分支故障树的知识搜索策略设计了系统的推理机制。

关 键 词:空气制动机  故障诊断  专家系统  知识库  推理机制
文章编号:1009-3044(2007)09-20762-02
修稿时间:2007-04-23

Research of Fault Diagnose Expert System Applied in 120-1 Air Brake
WANG Jin-shuang, YUAN Bing, LI Ji-xin.Research of Fault Diagnose Expert System Applied in 120-1 Air Brake[J].Digital Community & Smart Home,2007,2(5):762-763,768.
Authors:WANG Jin-shuang  YUAN Bing  LI Ji-xin
Affiliation:1.College of ComputerScientific and Technology, Taiyuan Scientific and Technical University,Taiyuan 030006,China;2.China ElectronicsTechnology Group Corporation No.33th Research Institute, Taiyuan 030006,China
Abstract:In view of 120-1 air brake fault characteristics, it used fault tree analytic method union logic code way to establish knowledge rule-set. And it used "the frame + production pattern rule" in the knowledge expressing; by the way, it had completed the design of the knowledge base table structure with the database theory, by the use of forward reasoning, it also had designed inference mechanism of the system based on the single branch fault tree's knowledge search strategy.
Keywords:air brake  fault diagnose  expert system  knowledge base  inference mechanism
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