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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| Format: | Thesis |
| Language: | en en |
| Published: |
2002
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| Subjects: | |
| Online Access: | https://etd.uum.edu.my/995/1/ZAKARIA_B._HUSSAIN.pdf https://etd.uum.edu.my/995/2/1.ZAKARIA_B._HUSSAIN.pdf https://etd.uum.edu.my/995/ |
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| _version_ | 1833435564138823680 |
|---|---|
| author | Zakaria, Hussain |
| author_facet | Zakaria, Hussain |
| author_sort | Zakaria, Hussain |
| building | UUM Library |
| collection | Institutional Repository |
| content_provider | Universiti Utara Malaysia |
| content_source | UUM Electronic Theses |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.uum.etd-995 |
| institution | Universiti Utara Malaysia |
| language | en en |
| publishDate | 2002 |
| record_format | eprints |
| spelling | my.uum.etd-9952013-07-24T12:09:58Z https://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 https://etd.uum.edu.my/995/1/ZAKARIA_B._HUSSAIN.pdf application/pdf en https://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. |
| spellingShingle | QA76 Computer software Zakaria, Hussain Web-Based Electrical Fault Diagnosis Using Expert System |
| title | 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_short | Web-Based Electrical Fault Diagnosis Using Expert System
|
| title_sort | web-based electrical fault diagnosis using expert system |
| topic | QA76 Computer software |
| url | https://etd.uum.edu.my/995/1/ZAKARIA_B._HUSSAIN.pdf https://etd.uum.edu.my/995/2/1.ZAKARIA_B._HUSSAIN.pdf https://etd.uum.edu.my/995/ |
| url_provider | http://etd.uum.edu.my/ |