文章基本信息

标题：The Diagnosis by Abduction using Human Expert Knowledge
其他标题：The Diagnosis by Abduction using Human Expert Knowledge
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作者：Ariton, Viorel ; Postolache, Florin
期刊名称：Acta Universitatis Danubius. Oeconomica
印刷版ISSN：2065-0175
电子版ISSN：2067-340X
出版年度：2010
卷号：2
期号：1
语种：English
出版社：Danubius University
摘要：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.
关键词：Faulty Diagnosis; abduction; plausibility criteria; relevant criterion;Finance and Banking