Statistical damage detection in a stationary rotor systems through time series analysis

dc.creatorDa Silva, S
dc.creatorJunior, MD
dc.date2007
dc.dateOCT
dc.date2014-11-14T07:27:24Z
dc.date2015-11-26T16:05:18Z
dc.date2014-11-14T07:27:24Z
dc.date2015-11-26T16:05:18Z
dc.date.accessioned2018-03-28T22:54:17Z
dc.date.available2018-03-28T22:54:17Z
dc.identifierLatin American Applied Research. Plapiqui(uns-conicet), v. 37, n. 4, n. 243, n. 246, 2007.
dc.identifier0327-0793
dc.identifier1851-8796
dc.identifierWOS:000250330200003
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/74582
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/74582
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/74582
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1265668
dc.descriptionA novel approach to detect damage in stationary rotating systems excited by unbalance and stochastic forces is presented. The methodology is based solely on output time series measured at the bearings stations. The method deals with the application of auto-regressive models and statistical modeling for the linear prediction of damage diagnosis. The results showed that the approach is suitable for practical applications.
dc.description37
dc.description4
dc.description243
dc.description246
dc.languageen
dc.publisherPlapiqui(uns-conicet)
dc.publisherBahia Blanca
dc.publisherArgentina
dc.relationLatin American Applied Research
dc.relationLatin Am. Appl. Res.
dc.rightsfechado
dc.sourceWeb of Science
dc.subjectdamage detection
dc.subjectrotor systems
dc.subjectAR-ARX models
dc.titleStatistical damage detection in a stationary rotor systems through time series analysis
dc.typeArtículos de revistas


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