Constructing a diagnostic knowledge base for building faults = creation d'une base de connaissances pour le diagnostic des desordres du bâtiment

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ConferenceProc. 11th Int. CIB Congress: 19 June 1989, Paris, France
VolumeTheme 3, v.1
Pages458465; # of pages: 8
Subjectcomputer programs; artificial intelligence; building failures; building diagnosis; artificial intelligence; knowledge based systems; machine learning; knowledge acquisition; intelligence artificiel; dé labrement
AbstractA computer system has been developed to build a knowledge base for automatic diagnosis of building faults. This knowledge-acquisition assistant writes rules for diagnosing problems and verifies the logical consistency of the knowledge base as it grows. The system comprises an inductive rule generation module and a rule verification module tied to a rule editor. These three components are used to formulate the rules in the knowledge base. To perform a diagnosis, the accepted rules are used to help diagnose the next case (or expert system shell). Each subsequent diagnostic case is used to add rules and subsequently the rule base is checked for consistency. This type of approach constrains the form of reporting building faults but allows many authors to co-operate in the building of a rule base. The result is a consistent syntax for diagnosis and an expanding rule base for a self-automating building diagnostic system.
Publication date
AffiliationNRC Institute for Research in Construction; National Research Council Canada
Peer reviewedYes
NRC number31103
NPARC number20375489
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Record identifiercb374abd-0c1c-41d7-8ba5-20324143e4b3
Record created2012-07-23
Record modified2016-05-09
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