Fault Diagnosis Expert System of Turbine Generator Sets Based on Rule Reasoning and Case Reasoning

被引：1
|
作者：
Yan, Changfeng [1 ]
Wang, Huibin [1 ]
Zhou, Lilong [1 ]
Li, Zhixin [1 ]
机构：
[1] Lanzhou Univ Technol, Sch Mech & Elect Engn, Lanzhou 730050, Peoples R China
来源：
APPLIED SCIENCE, MATERIALS SCIENCE AND INFORMATION TECHNOLOGIES IN INDUSTRY | 2014年 / 513-517卷
关键词：
Turbine Generator Sets; Fault Diagnosis Expert System; Rule Based Reasoning; Case Based Reasoning; CLIPS;
D O I：
10.4028/www.scientific.net/AMM.513-517.4443
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
A synthetic fault diagnosis expert system for turbine generator sets based on rule based reasoning and cases based reasoning is built in this paper. The structure of synthetic fault diagnosis expert system is discussed. The rule base and case base for the fault diagnosis of expert system is established based on the domain expert knowledge and relevant fault cases of turbine generator sets. Both the inference flow and case retrieval strategy of diagnosis system are discussed in detail. Finally the expert system is verified by a given application example.
引用
收藏
页码：4443 / 4448
页数：6
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