A modified Kullback divergence for direct fault detection in large scale systems

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dc.contributor.authorHamadouche, Anis
dc.contributor.authorKouadri, Abdelmalek
dc.contributor.authorBakdi, Azzeddine
dc.date.accessioned2018-02-18T10:15:04Z
dc.date.available2018-02-18T10:15:04Z
dc.date.issued2017
dc.identifier.issn0959-1524
dc.identifier.urihttps://dspace.univ-boumerdes.dz/handle/123456789/4533
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofseriesJournal of Process Control/ Vol.59 (2017);pp. 28-36
dc.subjectFDIen_US
dc.subjectChange-point detectionen_US
dc.subjectKernel methodsen_US
dc.subjectDensity ratioen_US
dc.subjectKullback–Leibleren_US
dc.subjectTennessee Eastman processen_US
dc.subjectMachine learningen_US
dc.titleA modified Kullback divergence for direct fault detection in large scale systemsen_US
dc.typeArticleen_US

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