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International Conference on Knowledge-Based and Intelligent Information and Engineering Systems

KES 2003: Knowledge-Based Intelligent Information and Engineering Systems pp 684–690Cite as

Using Artificial Neural Networks for Combustion Interferometry

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2773))

Abstract

We describe an application of artificial neural networks (ANNs) for combustion interferometry. Using the ANN we calculate the integral and local characteristics of flame presented by using incomplete set of features that characterize interferometric images. Our method performs these calculations faster than the standard analytical approaches. In prospects, this method can be used in automated systems to control and diagnose combustion processes.

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References

  1. Abrukov, V.S., Ilyin, S.V., Maltsev, V.M., Andreev, I.V.: Proc. VSJ-SPIE Int. Conference, AB076 (1998), http://www.vsj.or.jp/vsjspie/

  2. Abrukov, V.S., Andreev, I. V., Kocheev, I. G.: J. Chemical Physics 5, 6–11 (2001) (in Russian)

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  3. Abrukov, V.S., Andreev, I.V., Deltsov, P.V.: Optical Methods for Data Processing in Heat and Fluid Flow, p. 247. Professional Engineering Publishing, London (2002)

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  4. The BaseGroup Laboratory, http://www.basegroup.ru

  5. Sanders, S.T., Jenkins, T.P., Baldwin, J.A., et al.: Control of Detonation processes, pp. 156–159. Elex-KM Publisher, Moscow (2000)

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Author information

Authors and Affiliations

  1. Chuvash State University, Moskovsky prosp, 15, 428015, Cheboksary, Russia

    Victor Abrukov, Vitaly Schetinin & Pavel Deltsov

Authors
  1. Victor Abrukov
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  2. Vitaly Schetinin
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  3. Pavel Deltsov
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Editor information

Editors and Affiliations

  1. Computing Laboratory, Oxford University, Parks Road, OXI 3QD, United Kingdom

    Vasile Palade

  2. Intelligent Systems and Signal Processing Labs, Moulsecoomb, University of Brighton, BN2 4GJ, Brighton, United Kingdom

    Robert J. Howlett

  3. Knowledge-Based Intelligent Engineering Systems Centre, Mawson Lakes, University of South Australia, 5095, Adelaide, SA, Australia

    Lakhmi Jain

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© 2003 Springer-Verlag Berlin Heidelberg

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Cite this paper

Abrukov, V., Schetinin, V., Deltsov, P. (2003). Using Artificial Neural Networks for Combustion Interferometry. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45224-9_93

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  • DOI: https://doi.org/10.1007/978-3-540-45224-9_93

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40803-1

  • Online ISBN: 978-3-540-45224-9

  • eBook Packages: Springer Book Archive

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