Vis enkel innførsel

dc.contributor.authorPerera, Lokukaluge Prasad
dc.date.accessioned2017-11-01T18:18:17Z
dc.date.available2017-11-01T18:18:17Z
dc.date.created2016-12-18T15:17:53Z
dc.date.issued2016
dc.identifier.citationIFAC-PapersOnLine. 2016, 49 (28), 091-096.nb_NO
dc.identifier.issn2405-8963
dc.identifier.urihttp://hdl.handle.net/11250/2463539
dc.description.abstractSensor fault detection under marine engine centered localized models of an engine propeller combinator diagram is presented in this study. The proposed approach consists of two detection levels to identify of sensor fault situations in an onboard data acquisition system of a vessel. Each parameter in ship performance and navigation data can have a realistic data range (i.e. a threshold relates to the variance), where the parameter can vary. If the sensor reads a value beyond this parameter range, then that data point is categorized as a sensor fault situation by the first fault detection level. However, some sensor faults are located within this data range and that cannot identify by this detection level. Such complex sensor fault situations are detected by the second fault detection level by considering the proposed localized models. These localized models are derived with respect to the operating regions of an engine-propeller combinator diagram, where the respective data points are clustered by Gaussian mixture models with an expectation maximization algorithm. Each data cluster is examined through principal component analysis and projected into the bottom principal component to identify such complex sensor fault situations. A data set of ship performance and navigation information of a selected vessel is used through these sensor fault detection levels and the successful results on identifying such sensor fault situations are also presented in this study.nb_NO
dc.language.isoengnb_NO
dc.rightsNavngivelse-Ikkekommersiell-DelPåSammeVilkår 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/deed.no*
dc.subjectSensor Fault Detectionnb_NO
dc.subjectPrincipal Component Analysisnb_NO
dc.subjectBig Datanb_NO
dc.subjectStatistical Data Analysisnb_NO
dc.subjectGaussian Mixture Modelsnb_NO
dc.subjectEngine-Propeller combinator Diagramnb_NO
dc.titleMarine Engine Centered Localized Models for Sensor Fault Detection under Ship Performance Monitoringnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber091-096nb_NO
dc.source.volume49nb_NO
dc.source.journalIFAC-PapersOnLinenb_NO
dc.source.issue28nb_NO
dc.identifier.doi10.1016/j.ifacol.2016.11.016
dc.identifier.cristin1414697
dc.relation.projectNorges forskningsråd: 237917nb_NO
cristin.unitcode7566,7,0,0
cristin.unitnameMaritim
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel

Navngivelse-Ikkekommersiell-DelPåSammeVilkår 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Navngivelse-Ikkekommersiell-DelPåSammeVilkår 4.0 Internasjonal