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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| 语言: | eng eng |
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2002
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| 在线阅读: | https://etd.uum.edu.my/995/1/ZAKARIA_B._HUSSAIN.pdf https://etd.uum.edu.my/995/2/1.ZAKARIA_B._HUSSAIN.pdf |
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my-uum-etd.9952013-07-24T12:09:58Z Web-Based Electrical Fault Diagnosis Using Expert System 2002 Zakaria, Hussain Sekolah Siswazah Graduate School 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 https://etd.uum.edu.my/995/ https://etd.uum.edu.my/995/1/ZAKARIA_B._HUSSAIN.pdf application/pdf eng validuser https://etd.uum.edu.my/995/2/1.ZAKARIA_B._HUSSAIN.pdf application/pdf eng public masters masters Universiti Utara Malaysia |
| institution |
Universiti Utara Malaysia |
| collection |
UUM ETD |
| language |
eng eng |
| 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 |
| qualification_name |
masters |
| qualification_level |
Master's degree |
| 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 |
| granting_institution |
Universiti Utara Malaysia |
| granting_department |
Sekolah Siswazah |
| publishDate |
2002 |
| url |
https://etd.uum.edu.my/995/1/ZAKARIA_B._HUSSAIN.pdf https://etd.uum.edu.my/995/2/1.ZAKARIA_B._HUSSAIN.pdf |
| _version_ |
1747827062778888192 |