DocumentCode :
1950809
Title :
An Automated Network for Detecting Diesel Engine Misfire
Author :
Getman, Anya L. ; Zhou, Heng ; Jammalamadaka, Sandhya D.
Author_Institution :
Caterpillar Tech Center, Mossville
fYear :
2007
fDate :
12-17 Aug. 2007
Firstpage :
3017
Lastpage :
3021
Abstract :
An easily online adaptive misfire algorithm is developed, capable of extrapolating to unforeseen engine speeds, similar yet different engines, and new combinations of misfiring cylinders. Proven, repeatable algorithms are used, with an eye on easy calibration for totally new engine types. Several methodologies are compared to this approach, at idle and with varying rpm, not only for accuracy, but also for portability and adaptability.
Keywords :
calibration; diesel engines; mechanical engineering computing; neural nets; calibration; diesel engine; online adaptive misfire algorithm; probabilistic neural network; Angular velocity; Calibration; Combustion; Diesel engines; Engine cylinders; Fluctuations; Jamming; Management training; Neural networks; Recurrent neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
Conference_Location :
Orlando, FL
ISSN :
1098-7576
Print_ISBN :
978-1-4244-1379-9
Electronic_ISBN :
1098-7576
Type :
conf
DOI :
10.1109/IJCNN.2007.4371441
Filename :
4371441
Link To Document :
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