DEVELOPMENT OF A KNOWLEDGE-BASED HYBRID FAILURE DIAGNOSIS SYSTEM FOR URBAN TRANSIT

被引：5

作者：

Kim, H. J. ^{[2
]}

Bae, C. H. ^{[2
]}

Kim, S. H. ^{[2
]}

Lee, H. Y. ^{[3
]}

Park, K. J. ^{[3
]}

Suh, M. W. ^{[1
]}

机构：

[1] Sungkyunkwan Univ, Sch Mech Engn, Suwon 440746, Gyeonggi, South Korea

[2] Sungkyunkwan Univ, Grad Sch Mech Engn, Suwon 440746, Gyeonggi, South Korea

[3] Korea Railrd Res Inst, Uliwang Si 437050, Gyeonggi, South Korea

来源：

INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY | 2009年 / 10卷 / 01期

关键词：

Expert system; Knowledge base; Rule-based reasoning; Case-based reasoning; FMEA (Failure Mode and Effect Analysis); FTA (Failure Tree Analysis); DT (Decision Table);

D O I：

10.1007/s12239-009-0015-3

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Urban transit is a complex system that contains both electrical and mechanical entities; therefore, it is necessary to construct a maintenance system for ensuring safety during high-speed driving. Expert systems are computer programs that use numerical or non-numerical domain-specific knowledge to solve problems. This research aims to develop an expert system that diagnoses the causes of failures quickly and displays measures to correct them. For the development of this expert system, the standardization of a failure code classification and the creation of a Bill of Materials (BOM) were first performed. Through the analysis of both failure history and maintenance manuals, a knowledge base has been constructed. Also, for retrieving the procedure of failure diagnosis and repair linking with the knowledge base, we have built a Rule-Based Reasoning (RRB) engine with a pattern matching technique and a Case-Based Reasoning (CBR) engine with a similar search method. Finally, this system has been developed as web based in order to maximize accessibility.

引用

页码：123 / 129

页数：7

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