Paper Title:
A Framework for Novelty Detection in Jet Engine Vibration Data
  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.

  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, P. R. Bannister, L. Tarassenko, "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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$32.00
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