Demonstration of rule- based expert system for fault identification and diagnosis for distributed data rectification and process monitoring- sensor network

This dissertation focuses on developing expert system for the Distributed Data Rectification and Process Monitoring Sensor Network in the domain of chemical process. It is developed using the expert system development shell called CLIPS. This expert system identifies and diagnoses the process or se...

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Main Author:	Seethala Sree Kanth.
Other Authors:	Goh, Kiah Mok
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Mechanical engineering::Control engineering
Online Access:	http://hdl.handle.net/10356/6347
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Institution:	Nanyang Technological University

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spelling	sg-ntu-dr.10356-63472023-03-11T17:05:19Z Demonstration of rule- based expert system for fault identification and diagnosis for distributed data rectification and process monitoring- sensor network Seethala Sree Kanth. Goh, Kiah Mok School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering::Control engineering This dissertation focuses on developing expert system for the Distributed Data Rectification and Process Monitoring Sensor Network in the domain of chemical process. It is developed using the expert system development shell called CLIPS. This expert system identifies and diagnoses the process or sensor fault in the plant. To develop this system, knowledge is acquired from domain expert and the acquired knowledge is represented in the form of rules. All these rules form the knowledge base for the system and these rules are in the format suitable for CLIPS inference engine. Master of Science (Computer Integrated Manufacturing) 2008-09-17T11:12:33Z 2008-09-17T11:12:33Z 2005 2005 Thesis http://hdl.handle.net/10356/6347 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::Control engineering
spellingShingle	DRNTU::Engineering::Mechanical engineering::Control engineering Seethala Sree Kanth. Demonstration of rule- based expert system for fault identification and diagnosis for distributed data rectification and process monitoring- sensor network
description	This dissertation focuses on developing expert system for the Distributed Data Rectification and Process Monitoring Sensor Network in the domain of chemical process. It is developed using the expert system development shell called CLIPS. This expert system identifies and diagnoses the process or sensor fault in the plant. To develop this system, knowledge is acquired from domain expert and the acquired knowledge is represented in the form of rules. All these rules form the knowledge base for the system and these rules are in the format suitable for CLIPS inference engine.
author2	Goh, Kiah Mok
author_facet	Goh, Kiah Mok Seethala Sree Kanth.
format	Theses and Dissertations
author	Seethala Sree Kanth.
author_sort	Seethala Sree Kanth.
title	Demonstration of rule- based expert system for fault identification and diagnosis for distributed data rectification and process monitoring- sensor network
title_short	Demonstration of rule- based expert system for fault identification and diagnosis for distributed data rectification and process monitoring- sensor network
title_full	Demonstration of rule- based expert system for fault identification and diagnosis for distributed data rectification and process monitoring- sensor network
title_fullStr	Demonstration of rule- based expert system for fault identification and diagnosis for distributed data rectification and process monitoring- sensor network
title_full_unstemmed	Demonstration of rule- based expert system for fault identification and diagnosis for distributed data rectification and process monitoring- sensor network
title_sort	demonstration of rule- based expert system for fault identification and diagnosis for distributed data rectification and process monitoring- sensor network
publishDate	2008
url	http://hdl.handle.net/10356/6347
_version_	1761781444064051200

Demonstration of rule- based expert system for fault identification and diagnosis for distributed data rectification and process monitoring- sensor network

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