A Multi-Layer Approach for Failure Detection in a Manufacturing System Based on Automation Agents

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

A Multi-Layer Approach for Failure Detection in a Manufacturing System Based on Automation Agents

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

A Multi-Layer Approach for Failure Detection in a Manufacturing System Based on Automation Agents

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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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Počet stran výsledku

6

Strana od-do

1-6

Název nakladatele

IEEE Computer Society

Místo vydání

Los Alamitos

Místo konání akce

Las Vegas

Datum konání akce

16. 4. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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