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A Survey Of Case-Based Diagnostic Systems for Machines

Fulltext:


Authors:

Ella Olsson

Research group:

Artificial Intelligence and Intelligent Systems

Publication Type:

Conference/Workshop Paper

Venue:

Proceedings of the Seventh International Conference on Enterprise Information Systems (ICEIS05)

Publisher:

INSTICC Press

Abstract

Electrical and mechanical equipment such as gearboxes in an industrial robots or electronic circuits in an industrial printer sometimes fail to operate as intended. The faulty component can be hard to locate and replace and it might take a long time to get an enough experienced technician to the spot. In the meantime thousands of dollars may be lost due to a delayed production. Systems based on case-based reasoning are well suited to prevent this kind of hold in the production. Their ability to reason from past cases and to learn from new ones is a powerful method to use when a failure in a machine occurs. The system is able to automatically search its library of past cases and propose a solution to the problem. A less experienced technician can use this solution and quickly repair the machine.

Bibtex

@inproceedings{Olsson683,
author = {Ella Olsson},
title = {A Survey Of Case-Based Diagnostic Systems for Machines},
editor = {Chin-Sheng Chen, Joaquim Filipe, Isabel Seruca, Jos{\'e} Cordeiro},
month = {May},
year = {2005},
booktitle = {Proceedings of the Seventh International Conference on Enterprise Information Systems (ICEIS05)},
publisher = {INSTICC Press},
url = {http://www.es.mdu.se/publications/683-}
}