Learning shape for jet engine novelty detection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3973 LNCS, Issue , 2006, Pages 828-835

  Clifton, David A ^a,b   Bannister, Peter R ^a   Tarassenko, Lionel ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b Oxford BioSignals Ltd Magdalen Centre   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; VIBRATIONS (MECHANICAL);

JET ENGINE SHAPES; VIBRATION CHARACTERISTICS; VIBRATION SIGNATURES; VIBRATION THRESHOLD;

JET ENGINES;

EID: 33745878795     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11760191_121     Document Type: Conference Paper

References (8)

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3. Clifton, D.A.: Condition Monitoring of Gas-Turbine Engines. Department of Engineering Science, University of Oxford, Transfer Report (2005)
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5. Nabney, I.T.: NETLAB, Algorithms for Pattern Recognition. Springer-Verlag, New York (2002)
6. Nairac, A., Corbett-Clark, T.A., Ripley, R.M., Townsend, N.W., Tarassenko, L.: Choosing an Appropriate Model for Novelty Detection. In: Proc. 5th IEE Int. Conf. on Artificial Neural Networks, Cambridge (1997) 117-122
7. 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 6(1) (1999) 53-56
8. Sammon, J.W.: A Non-Linear Mapping for Data Structure Analysis. IEEE Transactions on Computers C-18(5) (1969) 401-409