Since 2014
The Diagnosis by Abduction using Human Expert Knowledge
Acta Universitatis Danubius. Œconomica
View Archive Info| Field | Value | |
| Title |
The Diagnosis by Abduction using Human Expert Knowledge
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| Creator |
Ariton, Viorel; Danubius University of Galati
Postolache, Florin; Danubius University of Galati |
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| Subject |
Faulty Diagnosis, abduction, plausibility criteria, relevant criterion
Finance and Banking |
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| Description |
Fault Diagnosis in real systems usually involves human expert’s shallow knowledge (as pattern causes-effects) but also deep knowledge (as structural / functional modularization and models on behavior). The paper proposes a unified approach on diagnosis by abduction based on plausibility and relevance criteria multiple applied, in a connectionist implementation. Then, it focuses elicitation of deep knowledge on target conductive flow systems – most encountered in industry and not only, in the aim of fault diagnosis. Finally, the paper gives hints on design and building of diagnosis system by abduction, embedding deep and shallow knowledge (according to case) and performing hierarchical fault isolation, along with a case study on a hydraulic installation in a rolling mill plant.
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| Publisher |
Danubius University of Galati, Romania
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| Contributor |
—
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| Date |
2010-04-22
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| Type |
—
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| Format |
application/pdf
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| Identifier |
http://journals.univ-danubius.ro/index.php/oeconomica/article/view/36
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| Source |
Acta Universitatis Danubius. Œconomica; Vol 2, No 1 (2006)
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| Language |
en
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| Rights |
The author fully assumes the content originality and the holograph signature makes him responsible in case of trial.
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