UUM Electronic Theses and Dissertation
UUM ETD | Universiti Utara Malaysian Electronic Theses and Dissertation
FAQs | Feedback | Search Tips | Sitemap

Web-Based Electrical Fault Diagnosis Using Expert System

Zakaria, Hussain (2002) Web-Based Electrical Fault Diagnosis Using Expert System. Masters thesis, Universiti Utara Malaysia.

[thumbnail of ZAKARIA_B._HUSSAIN.pdf] PDF
Restricted to Registered users only

Download (10MB)
[thumbnail of 1.ZAKARIA_B._HUSSAIN.pdf]

Download (939kB) | Preview


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.

Item Type: Thesis (Masters)
Supervisor : UNSPECIFIED
Item ID: 995
Uncontrolled Keywords: Expert System, Electrical Fault, Engineering Knowledge Based System, Rule-Base Reasoning
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty and School System > Sekolah Siswazah
Date Deposited: 16 Dec 2009 09:40
Last Modified: 24 Jul 2013 12:09
Department: Graduate School
URI: https://etd.uum.edu.my/id/eprint/995

Actions (login required)

View Item
View Item