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Engine Misfire Detection for Green Combustion Automobiles: Robust Algorithms for Engine Misfire Detection - Couverture souple

Alkhateeb, Abedulah

 
9783639190397: Engine Misfire Detection for Green Combustion Automobiles: Robust Algorithms for Engine Misfire Detection
Couverture souple
ISBN 10 : 3639190394 ISBN 13 : 9783639190397
Editeur : VDM Verlag, 2009

Synopsis

Current regulations in North America and Europe require engine manufacturers to develop an on-board real time misfire detection system to monitor emissions related systems in automobiles. These regulations create a challenge for the engine manufacturers to develop a low cost on-board real time system. In this book different techniques are presented to design such a system. The overall algorithm consists of two main steps. First, it employs a frequency domain pattern classifier to detect and identify the type of misfire pattern, and then it utilizes two different techniques to locate the misfire instances. The first technique for misfire instances detection is based on a weighted Wiener adaptive filtering technique, while the second technique is based on time-frequency. The overall algorithm is intended to detect the engine misfire pattern type, identify engine misfire instances, the misfiring cylinder(s), and detect the total number of misfire events resulting from each cylinder under various speed and load conditions and misfire patterns. The performance of the presented algorithms is superior to other algorithms found in the literature.

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

Présentation de l'éditeur

Current regulations in North America and Europe require engine manufacturers to develop an on-board real time misfire detection system to monitor emissions related systems in automobiles. These regulations create a challenge for the engine manufacturers to develop a low cost on-board real time system. In this book different techniques are presented to design such a system. The overall algorithm consists of two main steps. First, it employs a frequency domain pattern classifier to detect and identify the type of misfire pattern, and then it utilizes two different techniques to locate the misfire instances. The first technique for misfire instances detection is based on a weighted Wiener adaptive filtering technique, while the second technique is based on time-frequency. The overall algorithm is intended to detect the engine misfire pattern type, identify engine misfire instances, the misfiring cylinder(s), and detect the total number of misfire events resulting from each cylinder under various speed and load conditions and misfire patterns. The performance of the presented algorithms is superior to other algorithms found in the literature.

Biographie de l'auteur

Dr. Alkhateeb is currently a specialist in systems engineering at Chrysler LLC. His research is related to DSP. He had authored several publications and holds US and International Patents. Dr. Alkhateeb received his Ph.D. in Electrical and Systems Engineering form Oakland University, MI, USA. He received MSEE and BSEE from JUST, JORDAN.

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

Éditeur
VDM Verlag
Date d'édition
2009
Langue
anglais
ISBN 10 
3639190394
ISBN 13 
9783639190397
Reliure
Broché
Nombre de pages
216
Coordonnées du fabricant
non disponible
Personne responsable
non disponible