The development of a deep knowledge diagnostic expert system using fault tree analysis information
作者:
M. S. Adamson,
P. R. Roberge,
期刊:
The Canadian Journal of Chemical Engineering
(WILEY Available online 1991)
卷期:
Volume 69,
issue 1
页码: 76-80
ISSN:0008-4034
年代: 1991
DOI:10.1002/cjce.5450690109
出版商: Wiley Subscription Services, Inc., A Wiley Company
关键词: fault tree analysis;diagnostics;expert system;deep knowledge
数据来源: WILEY
摘要:
AbstractIn this paper a diagnostic Knowledge Based Expert System (KBES) prototype for a nuclear Auxiliary Boiler Feed System (ABFS) was developed. A commercial Expert System shell accesses heuristic production rules to quickly resolve the majority of common faults. Supplementing this are a series of C functions which access the Fault Tree data base previously developed during the licensing process. These functions perform diagnostics, give detailed explanations of failure mechanisms, and identify system failure risks through examination of cut sets. The capture of both heuristic and Fault Tree information has resulted in a more exhaustive diagnostic tool with a domain of application unrestricted by the limitations of previous operator experience.
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