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Abstract
 
 
Acadêmico(a): GUSTAVO LANA DA COSTA
Título: PROTÓTIPO DE UM SISTEMA BASEADO EM CONHECIMENTO PARA DIAGNÓSTICO DE DEFEITOS MECÂNICOS EM MOTOCICLETAS
 
Abstract:
The present study shows the development of a prototype of a knowledge-based system for diagnostic of motorcycles mechanical defects. The prototype makes the user be able to manager of a machine shop and reduction of spent time on mechanical defect diagnostic. The module for defect diagnostic, through the artificial intelligence, assumes the task of an expert to identify which can be the defect on the motorcycle, as per the informations inserted by user. This module was developed to a Java platform, using the Java Expert System Shell (JESS) library to create the diagnostic module. To store the information in the knowledge base, while for all entries of the prototype, the MySQL database was used. The results of this prototype development was a knowledge based system which presents to user a list of mechanical parts to be checked, also with management functionalities, which permits greater security for storage of information in addition to facilitating its maintenance.