A Framework for Novelty Detection in Jet Engine Vibration Data
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.
L. Garibaldi, C. Surace, K. Holford and W.M. Ostachowicz
D. A. Clifton et al., "A Framework for Novelty Detection in Jet Engine Vibration Data ", Key Engineering Materials, Vol. 347, pp. 305-310, 2007