Towards on-line prediction of the in-cylinder pressure in diesel engines from engine vibration using artificial neural networks

SAE Technical Papers

Volumn 6, Issue , 2013, Pages

  Bizon, Katarzyna ^a   Continillo, Gaetano ^a   Mancaruso, Ezio ^b   Vaglieco, Bianca Maria ^b  

^a UNIVERSITY OF SANNIO   (Italy)

^b ISTITUTO MOTORI CNR   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ACCELEROMETERS; ENGINE CYLINDERS; MEAN SQUARE ERROR; NETWORK LAYERS; RADIAL BASIS FUNCTION NETWORKS; SIGNAL RECONSTRUCTION; STARTING; TIME SERIES; VEHICLES;

ACCELEROMETER SIGNALS; IN-CYLINDER PRESSURES; MOTORED AND FIRED CONDITIONS; MULTI LAYER PERCEPTRON NETWORKS; OPERATION PARAMETERS; RADIAL BASIS FUNCTION(RBF); SIGMOID TRANSFER FUNCTION; SIGNAL CLASSIFICATION;

DIESEL ENGINES;

EID: 84890346337     PISSN: 01487191     EISSN: 26883627     Source Type: Journal    
DOI: 10.4271/2013-24-0137     Document Type: Conference Paper

References (21)

1. Heywood, J.B., " Internal Combustion Engine Fundamentals," Mc Graw-Hill, New York, ISBN 0-07-100499-8, 1988.
2. Docquier, N., Candel, S., " Combustion control and sensors: a review," Progress in Energy and Combustion Science (28): 107-150 2002.
3. Portiero, J., Collazo, J., Patino, D., Míguez, J.L., " Diesel engine condition monitoring using a multi-net neural network system with nonintrusive sensors," Applied Thermal Engineering (31): 4097-4105 2011.
4. Taglialatela, F., Cesario, N., Porto, M., Merola, S. et al., " Use of Accelerometers for Spark Advance Control of SI Engines," SAE Int. J. Engines 2 (1): 971-981, 2009, doi: 10.4271/2009-01-1019.
5. Chiavola, O., Chiatti, G., Arnone, L., and Manelli, S., " Combustion Characterization in Diesel Engine via Block Vibration Analysis," SAE Technical Paper 2010-01-0168, 2010, doi: 10.4271/2010-01-0168.
6. Bizon, K., Continillo, G., Mancaruso, E., and Vaglieco, B., " Reconstruction of In-Cylinder Pressure in a Diesel Engine from Vibration Signal Using a RBF Neural Network Model," SAE Technical Paper 2011-24-0161, 2011, doi: 10.4271/2011-24-0161.
7. Barnard, J.P., Aldrich, C., " Diagnostic monitoring of internal combustion engines by use of independent component analysis and neural networks," Proceedings of the International Joint Conference on Neural Networks (2): 869-872 2003.
8. Taglialatela, F., Cesario, N., Lavorgna, M., Merola, S. et al., " Use of Engine Crankshaft Speed for Determination of Cylinder Pressure Parameters," SAE Technical Paper 2009-24-0108, 2009, doi: 10.4271/2009-24-0108.
9. Gu, F., Jacob, P.J., Ball, A.D., " A RBF neural network model for cylinder pressure reconstruction in internal combustion engines," IEE Colloquium Modeling and Signal Processing for Fault Diagnosis, 1996.
10. Saraswati, S., Chand, S., " Reconstruction of cylinder pressure for SI engine using recurrent neural networks," Neural Computing and Applications (19): 935-944, 2010.
11. Johnsson, R., " Cylinder pressure reconstruction based on complex radial basis function networks from vibration and speed signal," Mechanical Systems and Signal Processing (20): 1923-1940, 2006.
12. Leonhardt, S., Ludwig, C., Schwarz, R., " Real-time supervision for diesel engine injection," Control Engineering Practice (3): 1003-1010, 1995.
13. Wang, J., Zhang, Y., Xiong, Q., Ding, X., " NOx Prediction by cylinder pressure based on RBF neural network in diesel engine," Measuring Technology and Mechatronics Automation, 2010.
14. Yoon, M., Lee, K., Sunwoo, M., " A method for combustion phasing control using cylinder pressure measurement in a CRDI diesel engine," Mechatronics (17): 469-479, 2007.
15. Broomhead, D.S., Lowe, D., " Multivariable functional interpolation and adaptive networks," Complex Systems (2): 321-355, 1988.
16. Harpham, C., Dawson, C.W., " The effect of different basis functions on a radial basis function network for time series prediction: A comparative study," Neurocomputing (69): 2161-2170, 2006.
17. Luo, F.-L., Unbehauen, R., " Applied neural network for signal processing," Cambridge University, Cambridge, ISBN 0-52-164400-3, 1998.
18. Arsie, I., Marotta, F., Pianese, C., and Rizzo, G., " Information Based Selection of Neural Networks Training Data for S.I. Engine Mapping," SAE Technical Paper 2001-01-0561, 2001, doi: 10.4271/2001-01-0561.
19. Taglialatela-Scafati, F., Cesario, N., Lavorgna, M., Mancaruso, E. et al., " Diagnosis and Control of Advanced Diesel Combustions using Engine Vibration Signal," SAE Technical Paper 2011-01-1414, 2011, doi: 10.4271/2011-01-1414.
20. Haykin, S., " Neural networks. A comprehensive foundation," Prentice-Hall, New Jersey, ISBN 0-02-352761-7, 1998.
21. Kohavi R. and Provost F., " Glossary of Terms. Editorial for the Special Issue on Applications of Machine Learning and the Knowledge Discovery Process," Machine Learning 30 (2/3): 271-274 1998.