Title :
A model based data normalization technique for improving performance of engine misfire detection algorithms
Author :
Alkhateeb, A. ; Das, M.
Author_Institution :
DaimlerChrysler Corp., Auburn Hills, MI
Abstract :
An engine misfire detection scheme must work accurately under different engine operating conditions and in presence of different kinds of engine misfire patterns. To address these issues, a model based data normalization technique capable of improving the performance of engine misfire detection algorithms is proposed in this paper. Results obtained from a six cylinder engine speed data indicate that the proposed technique works very well.
Keywords :
data handling; engines; fault diagnosis; engine misfire detection algorithms; model based data normalization technique; six cylinder engine speed data; Acceleration; Costs; Detection algorithms; Engine cylinders; Equations; Fluctuations; Gears; Noise robustness; Roads; USA Councils;
Conference_Titel :
Electro/Information Technology Conference, 2004. EIT 2004. IEEE
Conference_Location :
Milwaukee, WI
Print_ISBN :
978-0-7803-8750-8
Electronic_ISBN :
978-0-7803-8751-5
DOI :
10.1109/EIT.2004.4569376