Ontology Mapping Approach for Fault Classification in Multi-Agent Systems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00207237" target="_blank" >RIV/68407700:21230/13:00207237 - isvavai.cz</a>
Result on the web
<a href="http://www.ifac-papersonline.net/Detailed/60131.html" target="_blank" >http://www.ifac-papersonline.net/Detailed/60131.html</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3182/20130619-3-RU-3018.00442" target="_blank" >10.3182/20130619-3-RU-3018.00442</a>

Result language
angličtina
Original language name
Ontology Mapping Approach for Fault Classification in Multi-Agent Systems
Original language description
One of the most important abilities of control systems is diagnostics. The ability to detect faults, to explain them to an operator, and possibly also to propose and execute a recovery is an important feature of an advanced control system. We present ontology mapping approach for error classification in this paper, with the focus on multi-agent systems. Fault descriptions are kept in global error ontology which facilitates reusability of this approach as well as easier maintenance. Fault classificationmethod utilizes HMM-based diagnostic system for automatic fault detection and offers effective and easy option of describing faults and inferring non-trivial dependencies using reasoning. Fault classification system is demonstrated on a testing example of automobile camshafts process.
Czech name
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Czech description
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Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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