Abstract
This paper describes an evaluation of a neural network technique for modelling fuel spray penetration in the cylinder of a diesel internal combustion engine. The model was implemented using a multi-layer perceptron neural network. Two engine operating parameters were used as inputs to the model, namely injection pressure and in-cylinder pressure. Spray penetration length were modelled on the basis of these two inputs. The model was validated using test data that had not been used during training, and it was shown that semi-automated classification of complex diesel spray data is possible. The work lays the foundations for the establishment of an improved neural network paradigm for totally automatic, fast, accurate analysis of such complex data, thus saving many man-hours of tedious manual data analysis.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Kalogirou, S.A.: Applications of artificial neural-networks for energy systems. Applied Energy 67, 17–35 (2000)
Xu, K., Luxmoore, A.R., Jones, L.M., Deravi, F.: Integration of neural networks and expert systems for microscopic wear particle analysis. Knowledge-Based Systems 11, 213–227 (1998)
Walters, S.D., Howson, P.A., Howlett, R.J.: Production Testing of Spark Plugs using a Neural Network. In: Paper No. kes05-159, vol. 4, pp. 74–80; Proceedings, KES 2005, Melbourne, September 14-16 (2005) ISSN 0302-9743, ISBN 3-540-28897-X
Lee, S.H., Walters, S.D., Howlett, R.J.: An Adaptive Neuro-fuzzy Modelling of Diesel Spray Penetration, Paper No. SAE-NA 2005-24-64. In: Proceedings, ICE 2005, Capri, September 11-16 (2005) ISBN 88-900399-2-2
Lee, S.H., Howlett, R.J., Walters, S.D., Crua, C.: Fuzzy Logic and Neuro-fuzzy Modelling of Diesel Spray Penetration, Paper No. kes05-388. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds.) KES 2005. LNCS (LNAI), vol. 3682, pp. 3–540. Springer, Heidelberg (2005)
Crua, C.: Combustion Processes in a Diesel Engine, Ph.D Thesis, University of Brighton (2002), http://www.crua.net/thesis
Walters, S.D.: Characterization and Analysis of Kettering-type Automotive Ignition Systems and Electrical Spark Profiles, Ph.D Thesis, University of Brighton, in Association with Champion Spark Plug (Europe), pp. 35–36 (1998)
Haykin, S.: Neural Networks – A Comprehensive Foundation, ch. 4, 2nd edn., pp. 156–255. Prentice Hall, Pearson Education (1999)
MATLAB Manual (version 6, Hardcopy) (August 2002)
MATLAB Manual (version 7.1, Online) (August 2005)
Forsyth, D.A., Ponce, J.: Computer Vision – A Modern Approach, ch. 8, pp. 165–189. Prentice-Hall, Englewood Cliffs (2003)
Rosandich, R.G.: Intelligent Visual Inspection using Artificial Neural Networks, pp. 116–136. Chapman & Hall, Boca Raton (1997)
Batchelor, B. G., Hill, D. A., Hodgson, D. C.: Automated Visual Inspection, North-Holland (ISBN 0-444-87577-8) / IFS Publications Ltd. (ISBN 0-903608-68-5), pp. 329-398, 535-547 (1985)
Batchelor, B.G., Hill, D.A., Hodgson, D.C.: Automated Visual Inspection, North-Holland (ISBN 0-444-87577-8) / IFS Publications Ltd. (ISBN 0-903608-68-5), Case Study 22, p. 501 (1985)
Lippman, R.P.: An Introduction to Computing with Neural Networks. IEEE ASSP Magazine 4, 4–22 (1987)
Thompson, S., Fueten, F., Bockus, D.: Mineral Identification using Artificial Neural Networks and the Rotating Polarizer Stage. Computers and Geosciences 27, 1081–1089 (2001)
Howlett, R.J., De Zoysa, M.M., Walters, S.D.: Monitoring IC Engines using Neural Networks, Paper: SAE-NA 2003-01-09. In: Procs. 6th International Conference on Engines for Automobiles, Capri, On CD (2003)
Hush, D.R., Horne, B.G.: Progress in Supervised Neural Networks. IEEE Signal Processing Magazine, 8–39 (1993)
Themistoklis, K.: Implementation of an Automated Fuel Spray Image Analysis System, BEng Final Year Report, University of Brighton, 10/5/2001, ch. 1-2, pp. 2–14 (2001)
Schalkoff, R.: Pattern Recognition, Statistical, Structural and Neural Approaches, ch. 10, pp. 204–220. ch. 12, pp. 236–259. J. Wiley & Sons, Chichester (1992)
MATLAB Neural Network Toolbox Users’ Guide (version 4, Hardcopy) (March 2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Walters, S.D., Lee, S.H., Crua, C., Howlett, R.J. (2006). Neural Network Classification of Diesel Spray Images. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11892960_142
Download citation
DOI: https://doi.org/10.1007/11892960_142
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46535-5
Online ISBN: 978-3-540-46536-2
eBook Packages: Computer ScienceComputer Science (R0)