Temperature variation compensated damage classification and localisation in ultrasonic guided wave SHM using self-learnt features and Gaussian mixture models
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DOI: 10.1088/1361-665x/ac5ce3
Abstract: Conventional damage localisation algorithms used in ultrasonic guided wave-based structural health monitoring (GW-SHM) rely on physics-defined features of GW signals. In addition to requiring domain knowledge of the interaction of various GW modes with various… read more here.
Keywords: physics; localisation; damage; damage classification ... See more keywords