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Development of advisory fault detection and diagnosis system using knowledge based and artificial neural network

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Main Author: Othman, Mohamad Rizza
Format: Thesis
Published: 2005
Subjects:
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Online Access:http://eprints.utm.my/id/eprint/34779/
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spelling my.utm.347792013-11-14T08:54:56Z http://eprints.utm.my/id/eprint/34779/ Development of advisory fault detection and diagnosis system using knowledge based and artificial neural network Othman, Mohamad Rizza Unspecified 2005 Thesis NonPeerReviewed Othman, Mohamad Rizza (2005) Development of advisory fault detection and diagnosis system using knowledge based and artificial neural network. Masters thesis, Universiti Teknologi Malaysia, Faculty of Chemical and Natural Resources Engineering.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic Unspecified
spellingShingle Unspecified
Othman, Mohamad Rizza
Development of advisory fault detection and diagnosis system using knowledge based and artificial neural network
format Thesis
author Othman, Mohamad Rizza
author_facet Othman, Mohamad Rizza
author_sort Othman, Mohamad Rizza
title Development of advisory fault detection and diagnosis system using knowledge based and artificial neural network
title_short Development of advisory fault detection and diagnosis system using knowledge based and artificial neural network
title_full Development of advisory fault detection and diagnosis system using knowledge based and artificial neural network
title_fullStr Development of advisory fault detection and diagnosis system using knowledge based and artificial neural network
title_full_unstemmed Development of advisory fault detection and diagnosis system using knowledge based and artificial neural network
title_sort development of advisory fault detection and diagnosis system using knowledge based and artificial neural network
publishDate 2005
url http://eprints.utm.my/id/eprint/34779/
_version_ 1643649672188788736
score 13.18916

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