An improved plant-wide fault detection scheme based on PCA and adaptive threshold for reliable process monitoring : application on the new revised model of Tennessee Eastman process

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dc.contributor.authorBakdi, Azzeddine
dc.contributor.authorKouadri, Abdelmalek
dc.date.accessioned2018-02-18T12:22:19Z
dc.date.available2018-02-18T12:22:19Z
dc.date.issued2017
dc.identifier.issn0886-9383
dc.identifier.urihttps://dspace.univ-boumerdes.dz/handle/123456789/4535
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofseriesJournal of Chemometrics/ (2017)
dc.subjectAdaptive thresholden_US
dc.subjectFault detectionen_US
dc.subjectModified exponentially weighted moving averageen_US
dc.subjectPrincipal component analysis
dc.subjectRevised model of Tennessee Eastman process
dc.titleAn improved plant-wide fault detection scheme based on PCA and adaptive threshold for reliable process monitoring : application on the new revised model of Tennessee Eastman processen_US
dc.typeArticleen_US

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