Using statistical models in industrial equipment

dc.contributor.authorMadeira, Sílvia
dc.contributor.authorInfante, Paulo
dc.contributor.authorDidelet, Filipe
dc.date.accessioned2014-12-09T15:40:26Z
dc.date.available2014-12-09T15:40:26Z
dc.date.issued2014
dc.description.abstractStatistical methods are nowadays more and more useful in industrial engineering. From plant design reliability to equipment analysis, there is much to cover with statistical models in order to improve the efficiency of systems. At Sines refinery we used several approaches trying to relate several process variables with the vibration of critical equipment and to model time to failure using parametric and non-parametric models. Critical pumps are also a purpose of the study and we focus on a 2oo3 (two-out-of-three) structure in order to check if maintenance optimization or maintenance cost reduction is possible, and thus, it will be included the study of the operation of some rotary equipment.por
dc.identifier.authoremailsparreira@galpenergia.com
dc.identifier.authoremailpinfante@uevora.pt
dc.identifier.authoremailnd
dc.identifier.citationMadeira, S.; Infante, P; Didelet, F. (2014). Using statistical models in industrial equipment. Proceedings of the EuroMaintenance 2014, pp. 451-455.por
dc.identifier.scientificarea336por
dc.identifier.sharewithCIMApor
dc.identifier.urihttp://www.iesbv.nl/files/4514/0542/8058/euromaintenance_2014_congress_proceedings_edition_3_ISBN_978-952-67981-3-4_deel_Josine.pdf
dc.identifier.urihttp://hdl.handle.net/10174/11911
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherEuromaintenancepor
dc.rightsopenAccesspor
dc.subjectreliabilitypor
dc.subjectmaintenancepor
dc.subjecttime between failurespor
dc.subjectSurvival modelspor
dc.subjectCox proportional hazardspor
dc.titleUsing statistical models in industrial equipmentpor
dc.typearticlepor
degois.publication.firstPage451por
degois.publication.lastPage455por
degois.publication.locationHelsinki, Finlandpor
degois.publication.titleEuroMaintenance 2014 CONGRESS PROCEEDINGSpor

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