Title
Device understanding and modeling for diagnosis
Abstract
It is argued that a device model must reflect understanding of how the device functions in the real world. The nature of models, the ontology of abstract models, and the role this ontology plays in diagnosis are examined. Organizational principles for (device) diagnosis models are identified. The efficient integration of functional-design models with other diagnosis models is discussed. The implementation of the concepts in the Faulty-II system is briefly described.<>
Year
DOI
Venue
1991
10.1109/64.79706
IEEE Expert
Keywords
Field
DocType
diagnosis,knowledge based systems,efficient integration,abstract model,faulty-ii system,device function,diagnosis model,ontology,knowledge representation,organizational principle,device model,functional-design model,device understanding,models,real world,modeling,abstract models,oscilloscopes,observability,logic,time measurement,terminology,kernel,ontologies
Data mining,Ontology,Knowledge representation and reasoning,Computer science,Knowledge management,Knowledge-based systems
Journal
Volume
Issue
ISSN
6
2
0885-9000
Citations 
PageRank 
References 
30
4.76
3
Authors
3
Name
Order
Citations
PageRank
Ameen Abu-Hanna149569.73
V. Richard Benjamins22444280.75
Wouter Jansweijer36723.40