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Authors: Xun Wang 1 ; George W. Irwin 1 ; Geoff McCullough 2 ; Neil McCullough 2 and Uwe Kruger 3

Affiliations: 1 Intelligent Systems and Control Research Group, Queen’s University, United Kingdom ; 2 Internal Combustion Engines Research Group, Queen’s University, United Kingdom ; 3 The Petroleum Institute, United Arab Emirates

Abstract: This paper reports on non-linear principal component analysis for fault detection on an internal combustion (IC) engine. An auto-associative neural network (AANN) model is built from transient engine data collected under varying atmospheric conditions. The experimental data used for modelling was collected for two different drive cycles, the Identification Cycle and the New European Drive Cycle. The key issue here is to decide which data should be used for training the neural network to produce good fault detection generalisation under different atmospheric conditions and with a different drive cycle. This is achieved successfully, with the Q monitoring statistic indicating an absence of unwanted false alarms under fault-free operation, along with successful detection of air leaks of varying magnitude in the inlet manifold.

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Paper citation in several formats:
Wang, X.; W. Irwin, G.; McCullough, G.; McCullough, N. and Kruger, U. (2008). Transient IC Engine Monitoring Under Temperature Changes Using an AANN. In Proceedings of the 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2008) - ANNIIP; ISBN 978-989-8111-33-3, SciTePress, pages 28-40. DOI: 10.5220/0001507900280040

@conference{anniip08,
author={Xun Wang. and George {W. Irwin}. and Geoff McCullough. and Neil McCullough. and Uwe Kruger.},
title={Transient IC Engine Monitoring Under Temperature Changes Using an AANN},
booktitle={Proceedings of the 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2008) - ANNIIP},
year={2008},
pages={28-40},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001507900280040},
isbn={978-989-8111-33-3},
}

TY - CONF

JO - Proceedings of the 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2008) - ANNIIP
TI - Transient IC Engine Monitoring Under Temperature Changes Using an AANN
SN - 978-989-8111-33-3
AU - Wang, X.
AU - W. Irwin, G.
AU - McCullough, G.
AU - McCullough, N.
AU - Kruger, U.
PY - 2008
SP - 28
EP - 40
DO - 10.5220/0001507900280040
PB - SciTePress

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