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Content Provider | IEEE Xplore Digital Library |
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Author | Zheng Xiaojun Yang Shuzi Zhou Anfa Shi Hanmin |
Copyright Year | 1988 |
Description | Author affiliation: Huazhong University of Science and Technology (Zheng Xiaojun) |
Abstract | A newly developed knowledge-based diagnosis system for automobile engines is described in this paper. The system is based on the Hierarchy Diagnostic Principle, suggested by the authors [1]. On this principle, a complex diagnostic task can be divided into several simple ones and then solved step by step. Both deep and shallow knowledge are used in the system, and or- ganized in two different knowledge bases: (1) a static knowledge base, which uses frames to describe the structure, symptom and fault information of the system to be diagnosed; (2) a dynamic knowledge base, which uses production rules and special functions to describe various dynamic information for diagnosing the locations and causes of a system fault. The system employs a hierarchy and portioning architecture which has two levels; a meta-level and a object level. The knowledge base of the object-level system, according to the fault types and structure hierarchy of the system to be diagnosed, is divided into several independent knowledge sources which are controlled by the meta-level system. The knowledge sources communicate with each other through a working memory called "black-board". |
Starting Page | 1042 |
Ending Page | 1047 |
File Size | 1351917 |
Page Count | 6 |
File Format | |
ISBN | 7800030393 |
DOI | 10.1109/ICSMC.1988.712870 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 1988-08-08 |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Automobiles Diesel engines Automotive engineering Diagnostic expert systems Humans Fault diagnosis Control systems Artificial intelligence Electrical equipment industry Ignition |
Content Type | Text |
Resource Type | Article |
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