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Please use this identifier to cite or link to this item: http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/4535

Titre: 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
Auteur(s): Bakdi, Azzeddine
Kouadri, Abdelmalek
Mots-clés: Adaptive threshold
Fault detection
Modified exponentially weighted moving average
Principal component analysis
Revised model of Tennessee Eastman process
Issue Date: 2017
Editeur: Wiley
Collection/Numéro: Journal of Chemometrics/ (2017)
URI: http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/4535
ISSN: 0886-9383
Appears in Collections:Publications Internationales

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