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