Combustion Engine Diagnosis

Model-based Condition Monitoring of Gasoline and Diesel Engines and their Components

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Éditeur :

Springer Vieweg


Paru le : 2017-05-04



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Description



This book offers first a short introduction to advanced supervision, fault detection and diagnosis methods. It then describes model-based methods of fault detection and diagnosis for the main components of gasoline and diesel engines, such as the intake system, fuel supply, fuel injection, combustion process, turbocharger, exhaust system and exhaust gas aftertreatment. Additionally, model-based fault diagnosis of electrical motors, electric, pneumatic and hydraulic actuators and fault-tolerant systems is treated. In general series production sensors are used. It includes abundant experimental results showing the detection and diagnosis quality of implemented faults.

Written for automotive engineers in practice, it is also of interest to graduate students of mechanical and electrical engineering and computer science.

Pages
303 pages
Collection
n.c
Parution
2017-05-04
Marque
Springer Vieweg
EAN papier
9783662494660
EAN PDF
9783662494677

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
10455 Ko
Prix
105,49 €

Rolf Isermann studied Mechanical Engineering and obtained the Dr.-Ing. degree in 1965 from the University of Stuttgart, Germany. In 1972 he became Professor in Control Engineering at the University of Stuttgart. From 1977-2006 he was Professor for Control Systems and Process Automation at the Institute of Automatic Control of the Darmstadt University of Technology. Since 2006 he is Professor emeritus and is head of the Research Group for Control Systems and Process Automation in the same institution. R. Isermann received the Dr. h.c. (honoris causa) from L'Université Libre de Bruxelles and from the Polytechnic University in Bucharest. In 1996 he was awarded by the “VDE-Ehrenring”, and in 2007 by “VDI-Ehrenmitglied”. The MIT Technology Review Magazine awarded him in 2003 to the Top Ten of Emerging Technologies in Mechatronics. In 2010 he received the Rufus Oldenburger Medal from the American Society of Mechanical Engineers (ASME: highest scientific award for lifetime achievements), and in 2016 the IFAC lifetime achievement award for mechatronics.

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