A Multi-Layer Approach for Failure Detection in a Manufacturing System Based on Automation Agents
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00194497" target="_blank" >RIV/68407700:21230/12:00194497 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ITNG.2012.8" target="_blank" >http://dx.doi.org/10.1109/ITNG.2012.8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ITNG.2012.8" target="_blank" >10.1109/ITNG.2012.8</a>
Alternative languages
Result language
angličtina
Original language name
A Multi-Layer Approach for Failure Detection in a Manufacturing System Based on Automation Agents
Original language description
Automatically detecting component failures and unexpected behaviors is an essential service for achieving fault-tolerant robust manufacturing systems. The application of a multi-agent system is regarded as a promising approach for designing complex systems such as manufacturing systems due to its distributed nature. In this paper we present an agent-based control system with diagnostic capabilities on several layers for a pallet transport system. Local diagnostic tasks for detecting failures are performed by the automation agents each controlling one physical component such as a diverter. In order to observe the correct behavior of the components on a system-wide scale, an approach based on Hidden Markov Models linked to the agents is employed.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Ninth International Conference on Information Technology (ITNG 2012)
ISBN
978-0-7695-4654-4
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1-6
Publisher name
IEEE Computer Society
Place of publication
Los Alamitos
Event location
Las Vegas
Event date
Apr 16, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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