DocumentCode
277051
Title
Fault diagnosis from first principles using model-based expert systems
Author
Knight, Jim
Author_Institution
R. Mail Res. Centre, Swindon, UK
fYear
1992
fDate
33660
Firstpage
42430
Lastpage
42433
Abstract
Many humans analyze faults from first principles (sometimes subconsciously) if experiential knowledge is not available. Such analysis is based on an understanding of the functions of the components in a system and the inputs and outputs which pass between them. The paper discusses the issues arising from an investigation into the representation of this understanding in a model-based diagnostic expert system, which has been undertaken by the AI Group of the Royal Mail (Engineering) Research Centre
Keywords
digital simulation; electronic equipment testing; expert systems; failure analysis; inference mechanisms; knowledge representation; Royal Mail; diagnostic expert system; digital simulation; fault diagnosis; inference mechanisms; knowledge representation; model-based expert systems; printer diagnosis; reasoning;
fLanguage
English
Publisher
iet
Conference_Titel
Intelligent Fault Diagnosis - Part 2: Model-Based Techniques, IEE Colloquium on
Conference_Location
London
Type
conf
Filename
167915
Link To Document