Learning shape for jet engine novelty detection
Application of a neural network approach to data exploration and the generation of a model of system normality is described for use in novelty detection of vibration characteristics of a modern jet engine. The analysis of the shape of engine vibration signatures is shown to improve upon existing met...
| Main Authors: | , , |
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| Format: | Conference item |
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2006
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