Web-Based Electrical Fault Diagnosis Using Expert System

This thesis discusses the key issues of development of an Expert System (ES) proposed for diagnosing of electrical fault in a building in term of the location and cause of failure. This module used for self-assesment diagnosing in web-based environment so that easier for the maintenance and develop...

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Main Author: Zakaria, Hussain
Format: Thesis
Language:English
English
Published: 2002
Subjects:
Online Access:http://etd.uum.edu.my/995/1/ZAKARIA_B._HUSSAIN.pdf
http://etd.uum.edu.my/995/2/1.ZAKARIA_B._HUSSAIN.pdf
http://etd.uum.edu.my/995/
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Institution: Universiti Utara Malaysia
Language: English
English
id my.uum.etd.995
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spelling my.uum.etd.9952013-07-24T12:09:58Z http://etd.uum.edu.my/995/ Web-Based Electrical Fault Diagnosis Using Expert System Zakaria, Hussain QA76 Computer software This thesis discusses the key issues of development of an Expert System (ES) proposed for diagnosing of electrical fault in a building in term of the location and cause of failure. This module used for self-assesment diagnosing in web-based environment so that easier for the maintenance and development unit in any building to get and use the system. The basic development of the system is based on the concept of Engineering Knowledge Based Expert System approach. This knowledge based approach, is used to generate facts by using a set of rules to retrieve a solution. It will choose parts of the texts by referring to other relevant texts by using rule-based reasoning. The main activities in developing the system include the knowledge acquisition, knowledge validation, knowledge representation, inference and explanation. In conclusion, the development of an expert system for diagnosing electrical fault in a building is to help the user to make a better decision on the location and cause of electrical fault in the building. Therefore, the expert system has a great potential in supporting and enhancing the services of electrical supply nowadays. 2002 Thesis NonPeerReviewed application/pdf en http://etd.uum.edu.my/995/1/ZAKARIA_B._HUSSAIN.pdf application/pdf en http://etd.uum.edu.my/995/2/1.ZAKARIA_B._HUSSAIN.pdf Zakaria, Hussain (2002) Web-Based Electrical Fault Diagnosis Using Expert System. Masters thesis, Universiti Utara Malaysia.
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
English
topic QA76 Computer software
spellingShingle QA76 Computer software
Zakaria, Hussain
Web-Based Electrical Fault Diagnosis Using Expert System
description This thesis discusses the key issues of development of an Expert System (ES) proposed for diagnosing of electrical fault in a building in term of the location and cause of failure. This module used for self-assesment diagnosing in web-based environment so that easier for the maintenance and development unit in any building to get and use the system. The basic development of the system is based on the concept of Engineering Knowledge Based Expert System approach. This knowledge based approach, is used to generate facts by using a set of rules to retrieve a solution. It will choose parts of the texts by referring to other relevant texts by using rule-based reasoning. The main activities in developing the system include the knowledge acquisition, knowledge validation, knowledge representation, inference and explanation. In conclusion, the development of an expert system for diagnosing electrical fault in a building is to help the user to make a better decision on the location and cause of electrical fault in the building. Therefore, the expert system has a great potential in supporting and enhancing the services of electrical supply nowadays.
format Thesis
author Zakaria, Hussain
author_facet Zakaria, Hussain
author_sort Zakaria, Hussain
title Web-Based Electrical Fault Diagnosis Using Expert System
title_short Web-Based Electrical Fault Diagnosis Using Expert System
title_full Web-Based Electrical Fault Diagnosis Using Expert System
title_fullStr Web-Based Electrical Fault Diagnosis Using Expert System
title_full_unstemmed Web-Based Electrical Fault Diagnosis Using Expert System
title_sort web-based electrical fault diagnosis using expert system
publishDate 2002
url http://etd.uum.edu.my/995/1/ZAKARIA_B._HUSSAIN.pdf
http://etd.uum.edu.my/995/2/1.ZAKARIA_B._HUSSAIN.pdf
http://etd.uum.edu.my/995/
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