ORBi: Duchesne Arnaud - Process monitoring using a combination of data driven techniques and model based data validation

Reference : Process monitoring using a combination of data driven techniques and model based data va...


	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Chemical engineering Physical, chemical, mathematical & earth Sciences : Chemistry
	To cite this reference:	http://hdl.handle.net/2268/4182

Title :	Process monitoring using a combination of data driven techniques and model based data validation
Language :	English
Author, co-author :	Duchesne, Arnaud [ > > ]
	Heyen, Georges [Université de Liège - ULg > Département de chimie appliquée > LASSC (Labo d'analyse et synthèse des systèmes chimiques) >]
	Mack, Philippe [> > > >]
	Kalitventzeff, Boris [Université de Liège - ULg > Faculté des sciences appliquées > Professeur émérite > >]
Publication date :	Apr-2007
Journal title :	Revista de Chimie
Publisher :	Chiminform Data S A
Volume :	58
Issue/season :	4
Pages :	423-426
Audience :	International
ISSN :	0034-7752
City :	Bucharest
Keywords :	[en] data validation and reconciliation ; data mining ; soft sensors ; process monitoring ; process control
Abstract :	[en] Process monitoring is made difficult when measurements are subjected to errors, since pertinent information is hidden in the measurement noise. To address this issue, one can use model based data validation, or rely on statistical techniques to analyze large historical data sets (data mining). An industrial case study is presented here, where a model based approach (data validation) is compared to data driven techniques.
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/2268/4182
	also: http://hdl.handle.net/2268/74777

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