Development of a knowledge-based piping diagnostic system using a knowledge organization approach

Knowledge sorting is one way to organize the knowledge acquired from the domain expert(s) and various sources. Well-organized knowledge representation will make rule extraction much easier. In this work, a knowledge sorting process was adapted to facilitiate the rule extraction for a knowledge-based...

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Bibliographic Details
Main Author:	Ni, ChunQing.
Other Authors:	Chen, Chun-Hsien
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Mechanical engineering::Mechanics and dynamics
Online Access:	http://hdl.handle.net/10356/6221
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-6221
record_format	dspace
spelling	sg-ntu-dr.10356-62212023-03-11T17:17:42Z Development of a knowledge-based piping diagnostic system using a knowledge organization approach Ni, ChunQing. Chen, Chun-Hsien School of Mechanical and Production Engineering DRNTU::Engineering::Mechanical engineering::Mechanics and dynamics Knowledge sorting is one way to organize the knowledge acquired from the domain expert(s) and various sources. Well-organized knowledge representation will make rule extraction much easier. In this work, a knowledge sorting process was adapted to facilitiate the rule extraction for a knowledge-based diagnosing piping system. Master of Science (Computer Integrated Manufacturing) 2008-09-17T11:09:36Z 2008-09-17T11:09:36Z 2003 2003 Thesis http://hdl.handle.net/10356/6221 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Mechanical engineering::Mechanics and dynamics
spellingShingle	DRNTU::Engineering::Mechanical engineering::Mechanics and dynamics Ni, ChunQing. Development of a knowledge-based piping diagnostic system using a knowledge organization approach
description	Knowledge sorting is one way to organize the knowledge acquired from the domain expert(s) and various sources. Well-organized knowledge representation will make rule extraction much easier. In this work, a knowledge sorting process was adapted to facilitiate the rule extraction for a knowledge-based diagnosing piping system.
author2	Chen, Chun-Hsien
author_facet	Chen, Chun-Hsien Ni, ChunQing.
format	Theses and Dissertations
author	Ni, ChunQing.
author_sort	Ni, ChunQing.
title	Development of a knowledge-based piping diagnostic system using a knowledge organization approach
title_short	Development of a knowledge-based piping diagnostic system using a knowledge organization approach
title_full	Development of a knowledge-based piping diagnostic system using a knowledge organization approach
title_fullStr	Development of a knowledge-based piping diagnostic system using a knowledge organization approach
title_full_unstemmed	Development of a knowledge-based piping diagnostic system using a knowledge organization approach
title_sort	development of a knowledge-based piping diagnostic system using a knowledge organization approach
publishDate	2008
url	http://hdl.handle.net/10356/6221
_version_	1761781481341976576

Development of a knowledge-based piping diagnostic system using a knowledge organization approach

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