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 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.