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Title: Computationally inexpensive methods of ion current signal manipulation for predicting the characteristics of engine in-cylinder pressure
Authors: Gazis, Andreas
Panousakis, Dimitris
Chen, Rui
Chen, Wen-Hua
Keywords: Ion current
In-cylinder pressure
Artificial neural networks
Issue Date: 2006
Publisher: © IMechE / Professional Engineering Publishing
Citation: GAZIS, A. ... et al, 2006. Computationally inexpensive methods of ion current signal manipulation for predicting the characteristics of engine in-cylinder pressure. International Journal of Engine Research, 7 (3), pp. 271-282 [DOI: 10.1243/14680874JER04005]
Abstract: Recent research on the use of ion current has focused on matching the characteristics of the in-cylinder pressure, thus avoiding the use of a pressure transducer. This paper explores techniques of calculating these pressure characteristics through the use of simple and computationally inexpensive artificial neural networks. Two neural networks are presented to deduce the in-cylinder pressure from ion current measurements, where one is used to predict the characteristics directly and the other is used to calculate the in-cylinder pressure curve. Experimental results show that both networks give satisfactory results for different purposes. Some engineering implementation issues and the further improvement of the developed techniques are discussed.
Description: This article was published in the journal, International Journal of Engine Research [© IMechE] and is also available at: http://journals.pepublishing.com/content/119772
URI: https://dspace.lboro.ac.uk/2134/3758
ISSN: 1468-0874
Appears in Collections:Published Articles (Aeronautical and Automotive Engineering)

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