Articles liés à Dynamic Data Reconciliation: Theory and Practice

Dynamic Data Reconciliation: Theory and Practice - Couverture souple

Bai, Shuanghua; Thibault, Jules

 
9783639217797: Dynamic Data Reconciliation: Theory and Practice
Couverture souple
ISBN 10 : 3639217799 ISBN 13 : 9783639217797
Editeur : VDM Verlag Dr. Müller, 2010

Synopsis

Accurate and reliable information about the current state of a dynamic process is paramount for plant monitoring, control, optimization, and management. Unfortunately, plant data are often corrupted by measurement errors that reduce the efficiency of strategies devised by plant operators, engineers, and managers to improve plant operations. This book contributes to the development of dynamic data reconciliation (DDR) techniques, namely, optimization-based DDR, predictor-corrector-based DDR, and auto-associative-neural-network-based DDR implemented in real time and closed loop to attenuate the measurement errors. Examples clearly illustrate how measurement errors affect plant monitoring and controller performance, and how the embedded DDR can greatly compensate for this loss of plant monitoring and controller performance. The developed DDR techniques are applied and tested in numerous processes, storage tanks and distillation column, to demonstrate methodologies for practical applications. This book is of interest not only for academics whose research is in process state estimation and signal processing, but also for process control engineers working at plants.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Accurate and reliable information about the current state of a dynamic process is paramount for plant monitoring, control, optimization, and management. Unfortunately, plant data are often corrupted by measurement errors that reduce the efficiency of strategies devised by plant operators, engineers, and managers to improve plant operations. This book contributes to the development of dynamic data reconciliation (DDR) techniques, namely, optimization-based DDR, predictor-corrector-based DDR, and auto-associative-neural-network-based DDR implemented in real time and closed loop to attenuate the measurement errors. Examples clearly illustrate how measurement errors affect plant monitoring and controller performance, and how the embedded DDR can greatly compensate for this loss of plant monitoring and controller performance. The developed DDR techniques are applied and tested in numerous processes, storage tanks and distillation column, to demonstrate methodologies for practical applications. This book is of interest not only for academics whose research is in process state estimation and signal processing, but also for process control engineers working at plants.

Biographie de l'auteur

Shuanghua Bai is an Engineer at Suncor Energy. Before obtaining his PhD from the University of Ottawa, he worked for SINOPEC in Beijing upon graduation from Dalian University of Technology. Jules Thibault is a Professor at the University of Ottawa with research interest in Process Simulation, Control and Optimization.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2010
Langue
anglais
ISBN 10 
3639217799
ISBN 13 
9783639217797
Reliure
Broché
Nombre de pages
176
Coordonnées du fabricant
non disponible
Personne responsable
non disponible