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Support Vector Novelty Detection Applied to Jet Engine Vibration Spectra
A system has been developed to extract diagnostic information from jet engine carcass vibration data. Support Vector Machines applied to novelty detection provide a measure of how unusual the shape of a vibration signature is, by learning a representation of normality. We describe a novel method for Support Vector Machines of including information from a second class for novelty detection and g...
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ژورنال
عنوان ژورنال: The Journal of the Acoustical Society of America
سال: 1960
ISSN: 0001-4966
DOI: 10.1121/1.1936351