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

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Please use this identifier to cite or link to this item: http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/4533

Titre:	A modified Kullback divergence for direct fault detection in large scale systems
Auteur(s):	Hamadouche, Anis Kouadri, Abdelmalek Bakdi, Azzeddine
Mots-clés:	FDI Change-point detection Kernel methods Density ratio Kullback–Leibler Tennessee Eastman process Machine learning
Issue Date:	2017
Editeur:	Elsevier
Collection/Numéro:	Journal of Process Control/ Vol.59 (2017);pp. 28-36
URI:	http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/4533
ISSN:	0959-1524
Appears in Collections:	Publications Internationales

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