Static and dynamic novelty detection methods for jet engine health monitoring.
Novelty detection requires models of normality to be learnt from training data known to be normal. The first model considered in this paper is a static model trained to detect novel events associated with changes in the vibration spectra recorded from a jet engine. We describe how the distribution o...
Hoofdauteurs: | Hayton, P, Utete, S, King, D, King, S, Anuzis, P, Tarassenko, L |
---|---|
Formaat: | Journal article |
Taal: | English |
Gepubliceerd in: |
2007
|
Gelijkaardige items
-
Static and dynamic novelty detection methods for jet engine health monitoring
door: Hayton, P, et al.
Gepubliceerd in: (2007) -
Support vector novelty detection applied to Jet Engine vibration spectra
door: Hayton, P, et al.
Gepubliceerd in: (2001) -
Bayesian extreme value statistics for novelty detection in gas-turbine engines
door: Clifton, D, et al.
Gepubliceerd in: (2008) -
Learning shape for jet engine novelty detection
door: Clifton, D, et al.
Gepubliceerd in: (2006) -
Application of an intuitive novelty metric for jet engine condition monitoring
door: Clifton, D, et al.
Gepubliceerd in: (2006)