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A Framework for Novelty Detection in Jet Engine Vibration Data

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Abstract:

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.

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Periodical:

Key Engineering Materials (Volume 347)

Pages:

305-310

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.347.305

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Online since:

September 2007

Authors:

David A. Clifton, Peter R. Bannister, Lionel Tarassenko

Keywords:

Condition Monitoring, Gas-Turbine Engines, Novelty Detection, Visualisation

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© 2007 Trans Tech Publications Ltd. All Rights Reserved

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