Contribution of Functional Approach to the Classification and the Identification of Acoustic Emission Source Mechanisms

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.