Title :
An agent system for the gathering of product fault information
Author :
Pham, Duc T. ; Dimov, Stefan S. ; Soroka, Anthony J.
Author_Institution :
Manuf. Eng. Centre, Cardiff Univ.
Abstract :
This paper describes an agent-based system for automating the collection and processing of product fault related knowledge. The agents consist of multiple modules that individually perform simple tasks but collectively exhibit complex behavior. The agents themselves are able to interact with one another in order to process the information. Knowledge gathered by the agent system is employed to augment an existing knowledge base that in conjunction with an expert system is used for fault identification. This is achieved by means of an incremental learning algorithm. The agent system is an improvement on the conventional labor intensive and potentially error-prone procedures for the gathering and integration of new knowledge for fault identification systems
Keywords :
expert systems; identification; learning (artificial intelligence); production engineering computing; agent system; computer based product support system; expert system; fault identification system; incremental learning algorithm; intelligent product manual; machine learning; product fault related knowledge; Computer aided manufacturing; Computer errors; Expert systems; Fault diagnosis; Knowledge based systems; Knowledge management; Learning systems; Machine learning; Machine learning algorithms; Maintenance engineering;
Conference_Titel :
Industrial Informatics, 2004. INDIN '04. 2004 2nd IEEE International Conference on
Conference_Location :
Berlin
Print_ISBN :
0-7803-8513-6
DOI :
10.1109/INDIN.2004.1417402
