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Contribution of functional approach to the classification and the identification of acoustic emission source mechanisms

Abstract : In a context of nuclear Reactivity Initiated Accident, we describe acoustic emission signals, for which a problem of classification is open. As classical approaches with a reduced number of variables do not give satisfactory discrimination, we propose to use the envelopes of the received signals.We perform a k-means clustering and discuss the first results of this approach.
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O. Traore, P. Christini, N. Favretto-Christini, L. Pantera, P. Vieu, et al.. Contribution of functional approach to the classification and the identification of acoustic emission source mechanisms. International Workshop on Functional and Operational Statistics (IWFOS 2017), Jun 2017, La Corogne, Spain. ⟨cea-02434561⟩

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