Communication Dans Un Congrès Année : 2018

Signal-level clustering of acoustic emission streaming

Résumé

Clustering of acoustic emission signals aims at interpreting the dynamical materials behaviour through solicitations. It is usually posed as problem of finding clusters with good shape and well separated in the feature space, where features are extracted from AE signals. We here propose an alternative which does not use such features. The methodology relies on anomaly detection and includes a criterion that optimises the spread of onsets of clusters in place of shape.

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Dates et versions

hal-02131224 , version 1 (16-05-2019)

Identifiants

  • HAL Id : hal-02131224 , version 1

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Pauline Butaud, Emmanuel Ramasso, Hanaa Ahayan, Thomas Jeannin, Nathalie Godin, et al.. Signal-level clustering of acoustic emission streaming. European Workshop on Structural Health Monitoring Series, Jul 2018, Manchester, United Kingdom. ⟨hal-02131224⟩
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