The use of novelty detection techniques for monitoring high-integrity plant

IEEE Conference on Control Applications - Proceedings

Volumn 1, Issue , 2002, Pages 221-226

  King, S P ^a   King, D M ^a   Anuzis, P ^a   Astley, K ^a   Tarassenko, L ^a   Hayton, P ^a   Utete, S ^a  

^a ROLLS ROYCE PLC   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CONDITION MONITORING; ENGINES; FLIGHT DYNAMICS; POWER GENERATION; PROPULSION;

DIGITAL ENGINE CONTROL;

INTELLIGENT CONTROL;

EID: 0036033197     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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2. Cowley P.H., Cart H.R., Synopsis of application of neural networks to aero engine vibration monitoring, SAE32 Symposium on Advanced vibration monitoring techniques, Aix-en-Provence, October 1997.
3. Cumming S., Neural Networks for Monitoring of Engine Condition Data, Neural Computing & Applications, 1993 vol 1, No 1, pp 96-102.
4. Hayton P., Tarassenko L., Schölkopf B., Anuzis P., Support Vector Novelty Detection Applied to Jet Engine Vibration Spectra, Advances in Neural Information Processing Systems 13, pp 946-952.
5. Merrington G.L., Fault Diagnosis in Gas Turbines Using a Model-Based Technique, Transactions of-the ASME, April 1994, Vol 116, pp 374-380.
6. Nairac A., Townsend N., Carr H.R., King S., Cowley P., Tarassenko L. A system for the analysis of jet engine vibration data. Integrated Computer-Aided Engineering, 1999, pp 6:53-65.
7. Piers M.A., Donker J.C., A Knowledge-Based Assistant for Diagnosis in Aircraft Maintenance, AGARD Avionics Panel Symposium on Machine Intelligence for Aerospace Electronic Systems, Lisbon, May 1991.
8. Tarassenko L., A Guide to Neural Computing Applications, Arnold, 1998. ISBN 0-340-70589-2.
9. Utete S.W., Tarassenko L., Hayton P.M., Hesketh G., Anuzis P., Learning Methods for Data Fusion in Jet Engine Health Monitoring, Natural Computing Applications Forum, Manchester, July 2000.