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An agent system for the gathering of product fault information

Pham, Duc Truong, Dimov, Stefan Simeonov and Soroka, Anthony John 2004. An agent system for the gathering of product fault information. Presented at: International Conference on Industrial Informatics, Berlin, 24 - 26 June 2004. 2004 2nd IEEE International Conference on Industrial Informatics : Collaborative Automation--One Key For Intelligent Industrial Environments : 24th-26th June, 2004, Berlin, Germany. Piscataway, New Jersey: IEEE, pp. 536-539. 10.1109/INDIN.2004.1417402

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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

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Engineering
Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC)
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TS Manufactures
Uncontrolled Keywords: Machine learning; Product support systems; Agent-based system; Knowledge based system
Publisher: IEEE
ISBN: 0780385136
Last Modified: 10 Oct 2017 14:41
URI: http://orca-mwe.cf.ac.uk/id/eprint/37206

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