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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 classification method 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.
  • 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 classification method 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. (en)
Title
  • Ontology Mapping Approach for Fault Classification in Multi-Agent Systems
  • Ontology Mapping Approach for Fault Classification in Multi-Agent Systems (en)
skos:prefLabel
  • Ontology Mapping Approach for Fault Classification in Multi-Agent Systems
  • Ontology Mapping Approach for Fault Classification in Multi-Agent Systems (en)
skos:notation
  • RIV/68407700:21230/13:00207237!RIV14-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 94081
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/13:00207237
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Monitoring; Diagnosis; Maintenance of manufacturing systems; Distributed systems; Multi-agents technologies; Artificial intelligence (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [A8FBD7E7C1D4]
http://linked.open...v/mistoKonaniAkce
  • Saint Petersburg
http://linked.open...i/riv/mistoVydani
  • Laxenburg
http://linked.open...i/riv/nazevZdroje
  • Manufacturing Modelling, Management, and Control
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Jirkovský, Václav
  • Obitko, Marek
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 1474-6670
number of pages
http://bibframe.org/vocab/doi
  • 10.3182/20130619-3-RU-3018.00442
http://purl.org/ne...btex#hasPublisher
  • IFAC
https://schema.org/isbn
  • 978-3-902823-35-9
http://localhost/t...ganizacniJednotka
  • 21230
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