Artificial Neural Network Applications in the Calibration of Engines - Couverture souple

Turkson, Richard Fiifi; Yan, Fuwu; Ali, Mohamed Kamal Ahmed

 
9783659956614: Artificial Neural Network Applications in the Calibration of Engines
Couverture souple
ISBN 10 : 3659956619 ISBN 13 : 9783659956614
Editeur : LAP LAMBERT Academic Publishing, 2016

Synopsis

Emissions legislation has become progressively tighter, making the development of new internal combustion engines very challenging. New engine technologies for complying with these regulations introduce an exponential dependency between the number of test combinations required for obtaining optimum results and the time and cost outlays. This makes the calibration task very expensive and virtually impossible to carry out. The potential use of trained neural networks in combination with Design of Experiments (DoE) methods for engine calibration has been a subject of research activities in recent times. The purpose of this book is to give an overview of the various applications of neural networks in the calibration of spark-ignition engines. The identified and discussed applications include system identification for rapid prototyping, virtual sensing, use of neural networks as look-up table surrogates, emerging control strategies and On-Board Diagnostic (OBD) applications. The demerits of neural networks, future possibilities and alternatives were also discussed.

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

Présentation de l'éditeur

Emissions legislation has become progressively tighter, making the development of new internal combustion engines very challenging. New engine technologies for complying with these regulations introduce an exponential dependency between the number of test combinations required for obtaining optimum results and the time and cost outlays. This makes the calibration task very expensive and virtually impossible to carry out. The potential use of trained neural networks in combination with Design of Experiments (DoE) methods for engine calibration has been a subject of research activities in recent times. The purpose of this book is to give an overview of the various applications of neural networks in the calibration of spark-ignition engines. The identified and discussed applications include system identification for rapid prototyping, virtual sensing, use of neural networks as look-up table surrogates, emerging control strategies and On-Board Diagnostic (OBD) applications. The demerits of neural networks, future possibilities and alternatives were also discussed.

Biographie de l'auteur

Dr. Richard Fiifi Turkson is a Lecturer in the Department of Mechanical Engineering, Ho Polytechnic, Ghana. He holds a PhD in Vehicle Engineering awarded by Wuhan University of Technology, China. His research interests include the modeling and optimal calibration of spark-ignition engines via the use of nature-inspired meta-heuristic algorithms.

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

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2016
Langue
anglais
ISBN 10 
3659956619
ISBN 13 
9783659956614
Reliure
Broché
Nombre de pages
52
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
4950000000000
info@krega-onlinehandel.de

Birkenweg 31
Brakel
33034
Allemagne