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Identification-based condition monitoring using neural network approach

dc.contributor.authorPashkevich, A.
dc.contributor.authorRuano, Antonio
dc.contributor.authorKulikov, G. G.
dc.contributor.authorKazheunikau, M.
dc.date.accessioned2013-02-13T10:40:32Z
dc.date.available2013-02-13T10:40:32Z
dc.date.issued2003
dc.date.updated2013-01-27T23:20:07Z
dc.description.abstractThe paper focuses on enhancement of condition monitoring techniques in application to hydro- and electromechanical servomechanisms, which are widely used both in industrial robots and aircraft equipment. Its particular contribution lies in the area of neural network application for identification data analysis, which allows early diagnosis of process faults, while the plant is still operating in a controllable region. The proposed technique has been implemented in a software tool that allows to automate the decision-making process and to visualize the analysis results.por
dc.identifier.citationPashkevich, A.; Ruano, A. E.; Kulikov, G.; Kazheunikau, M. Identification-based condition monitoring using neural network approach, Trabalho apresentado em IFAC Int Conference on Intelligent Control Systems and Signal Processing (ICONS 2003), In IFAC Int Conference on Intelligent Control Systems and Signal Processing (ICONS 2003), Faro, 2003.por
dc.identifier.otherAUT: ARU00698;
dc.identifier.urihttp://hdl.handle.net/10400.1/2341
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectNeural networkspor
dc.subjectCondition monitoringpor
dc.subjectIdentificationpor
dc.subjectControl chartspor
dc.titleIdentification-based condition monitoring using neural network approachpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceFaropor
oaire.citation.endPage382por
oaire.citation.startPage377por
oaire.citation.titleIFAC International Conference on Intelligent Control Systems and Signal Processing (ICONS 2003)por
person.familyNameRuano
person.givenNameAntonio
person.identifier.orcid0000-0002-6308-8666
person.identifier.ridB-4135-2008
person.identifier.scopus-author-id7004284159
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication.latestForDiscovery13813664-b68b-40aa-97a9-91481a31ebf2

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