A Framework for Novelty Detection in Jet Engine Vibration Data

Abstract:

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A novelty detection approach to condition monitoring of aerospace gas-turbine engines is presented, providing a consistent framework for on- and off-line analysis, each with differing typical implementation constraints. On-line techniques are introduced for observing abnormality in engine behaviour during aircraft flights, and are shown to provide early warning of engine events in real-time. Off-line techniques within the same analysis framework are shown to allow the tracking of single engines and fleets of engines from ground-based monitoring stations on a flight-by-flight basis. Results are validated by comparison to conventional techniques, in application to aerospace engines and other industrial high-integrity systems.

Info:

Periodical:

Edited by:

L. Garibaldi, C. Surace, K. Holford and W.M. Ostachowicz

Pages:

305-310

DOI:

10.4028/www.scientific.net/KEM.347.305

Citation:

D. A. Clifton et al., "A Framework for Novelty Detection in Jet Engine Vibration Data ", Key Engineering Materials, Vol. 347, pp. 305-310, 2007

Online since:

September 2007

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Price:

$35.00

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