Reference : Data reconciliation and sampling protocol design, case of a paper deinking process
Scientific journals : Article
Engineering, computing & technology : Materials science & engineering
http://hdl.handle.net/2268/2190
Data reconciliation and sampling protocol design, case of a paper deinking process
English
Brown, David [Ecole Polytechnique Fédérale de Lausanne - EPFL > > > > > >]
Marechal, François mailto [Ecole Polytechnique Fédérale de Lausanne - EPFL > > > >]
Heyen, Georges [Université de Liège - ULg > Département de chimie appliquée > LASSC (Labo d'analyse et synthèse des systèmes chimiques) >]
Paris, Jean [Ecole Polytechnique de Montréal > Chemical engineering > > >]
2004
Paperi Ja Puu-Paper and Timber
Finnish Paper Timber
86
8
565-570
Yes
International
0031-1243
Helsinki
[en] sensitivity matrix ; sensor system ; reconciled precision ; key performance indicators ; population based evolutionary algorithm ; objective function ; waste paper deinking mill
[en] An equation solver data reconciliation software has been used to build a validated model of a waste paper deinking mill, by combining control room measurements and process design specifications. An optimal sampling protocol to validate the model by using only control room measurements has been determined by identifying, with genetic algorithm programming, the additional sampling points and corresponding sensors required to compensate for the lack of redundant measurements.
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/2190
also: http://hdl.handle.net/2268/73215

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
Paperi2004.pdfAuthor postprint2.08 MBView/Open

Bookmark and Share SFX Query

All documents in ORBi are protected by a user license.