Abstract
Application of novelty detection to a new class of jet engine is considered within this paper, providing a worked example of the steps necessary for constructing a model of normality. Abnormal jet engine vibration signatures are automatically identified with respect to a training set of normal examples. Pre-processing steps suitable for this area of application are investigated. An intuitive metric for assigning novelty scores to patterns is introduced, with benefits for reducing model sensitivity to noise, and in pruning patterns from the model training set.
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
Bishop, C.: Neural networks for pattern recognition. Oxford University Press, Oxford (1995)
Clifton, D.A.: Condition Monitoring of Gas-Turbine Engines. Department of Engineering Science, University of Oxford, Transfer Report (2005)
Hayton, P., Scholkopf, B., Tarassenko, L., Anuzis, P.: Support vector novelty detection applied to jet engine vibration spectra. In: NIPS Proceedings (2000)
Hayton, P., Utete, S., Tarassenko, L.: QUOTE Project Final Report. University of Oxford (2003)
Hayton, P., Utete, S., King, D., King, S., Anuzis, P., Tarassenko, L.: Static and dynamic novelty detection methods for jet engine health monitoring. Proc. of the Royal Society (2006)
Lowe, D., Tipping, M.E.: Feed-forward neural networks and topographic mappings for exploratory data analysis. Neural Computing and Applications (1996)
Nabney, I.T.: NETLAB, algorithms for pattern recognition. Springer, Heidelberg (2002)
Nairac, A., Corbett-Clark, T.A., Ripley, R.M., Townsend, N.W., Tarassenko, L.: Choosing an appropriate model for novelty detection. In: IEE 5th International Conference on Artificial Neural Networks (1997)
Nairac, A., Townsend, N., Carr, R., King, S., Cowley, P., Tarassenko, L.: A system for the analysis of jet engine vibration data. Integrated Computer-Aided Engineering (1999)
Rolls-Royce, P.L.C.: The jet engine. Renault Publishing (2005)
Sammon, J.W.: A non-linear mapping for data structure analysis. IEEE Transactions on Computers (1969)
Tarassenko, L., Nairac, A., Townsend, N.: Novelty detection. In: Proc. of NCAF/NSYN (1996)
Tarassenko, L.: A guide to neural computing applications. Arnold (1998)
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
Clifton, D.A., Bannister, P.R., Tarassenko, L. (2006). Application of an Intuitive Novelty Metric for Jet Engine Condition Monitoring. In: Ali, M., Dapoigny, R. (eds) Advances in Applied Artificial Intelligence. IEA/AIE 2006. Lecture Notes in Computer Science(), vol 4031. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11779568_122
Download citation
DOI: https://doi.org/10.1007/11779568_122
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35453-6
Online ISBN: 978-3-540-35454-3
eBook Packages: Computer ScienceComputer Science (R0)