Assessment of infrared spectroscopy and multivariate techniques for monitoring the service condition of diesel-engine lubricating oils

dc.creatorCaneca, AR
dc.creatorPimentel, MF
dc.creatorGalvao, RKH
dc.creatorda Matta, CE
dc.creatorde Carvalho, FR
dc.creatorRaimundo, IM
dc.creatorPasquini, C
dc.creatorRohwedder, JJR
dc.date2006
dc.dateSEP 15
dc.date2014-11-16T17:12:17Z
dc.date2015-11-26T17:25:48Z
dc.date2014-11-16T17:12:17Z
dc.date2015-11-26T17:25:48Z
dc.date.accessioned2018-03-29T00:13:01Z
dc.date.available2018-03-29T00:13:01Z
dc.identifierTalanta. Elsevier Science Bv, v. 70, n. 2, n. 344, n. 352, 2006.
dc.identifier0039-9140
dc.identifierWOS:000240418700017
dc.identifier10.1016/j.talanta.2006.02.054
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/54988
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/54988
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/54988
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1284404
dc.descriptionThis paper presents two methodologies for monitoring the service condition of diesel-engine lubricating oils on the basis of infrared spectra. In the first approach, oils samples are discriminated into three groups, each one associated to a given wear stage. An algorithm is proposed to select spectral variables with good discriminant power and small collinearity for the purpose of discriminant analysis classification. As a result, a classification accuracy of 93% was obtained both in the middle (MIR) and near-infrared (NIR) ranges. The second approach employs multivariate calibration methods to predict the viscosity of the lubricant. In this case, the use of absorbance measurements in the NIR spectral range was not successful, because of experimental difficulties associated to the presence of particulate matter. Such a problem was circumvented by the use of attenuated total reflectance (ATR) measurements in the MIR spectral range, in which an RMSEP of 3.8 cSt and a relative average error of 3.2% were attained. (c) 2006 Elsevier B.V. All rights reserved.
dc.description70
dc.description2
dc.description344
dc.description352
dc.languageen
dc.publisherElsevier Science Bv
dc.publisherAmsterdam
dc.publisherHolanda
dc.relationTalanta
dc.relationTalanta
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectviscosity
dc.subjectlubricating oil
dc.subjectinfrared spectroscopy
dc.subjectmultivariate calibration
dc.subjectdiscriminant analysis
dc.subjectSPA
dc.subjectPartial Least-squares
dc.subjectSuccessive Projections Algorithm
dc.subjectWavelength-selection
dc.subjectVariable Selection
dc.subjectGenetic Algorithms
dc.subjectDiscriminant-analysis
dc.subjectNir Data
dc.subjectCalibration
dc.subjectRegression
dc.subjectPls
dc.titleAssessment of infrared spectroscopy and multivariate techniques for monitoring the service condition of diesel-engine lubricating oils
dc.typeArtículos de revistas


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