| Download | - View accepted manuscript: Automating Model Acquisition by Fault Knowledge Re-use, DR, the Diagnostic Remodeler Algorithm (PDF, 502 KiB)
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| Author | Search for: Abu-Hakima, Suhayya |
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| Format | Text, Article |
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| Conference | International Workshop on the Principles of Diagnosis, October 17-19, 1994., New Paltz, New York, USA |
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| Abstract | This paper addresses the problem of automated model acquisition through there-use of fault knowledge. The Diagnostic Remodeler (DR) algorithm has been implemented for the automated generation of behavioural component models with an explicit representation of function by re-using fault-based knowledge. DR re-uses as its first application the fault-based knowledge of the Jet Engine Troubleshooting Assistant (JETA). DR extracts a model of the Main Fuel System using real-world engine fault knowledge and two types of background knowledge as input: device dependent and device independent background knowledge. To demonstrate DR's generality, it has also been applied to a coffee maker fault knowledge base to extract the component models of a full coffee device. |
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| Publication date | 1994 |
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| Language | English |
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| NRC number | NRCC 38315 |
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| NPARC number | 8913934 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | f616d170-520b-4765-8023-10c71c9b5578 |
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| Record created | 2009-04-22 |
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| Record modified | 2020-04-27 |
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