Continuous Wavelet Transform and Deep Learning for Accurate AE Zone Detection in Laminated Composite Structures

Acoustic emission (AE) source localization is a crucial area of research, particularly in the context of laminated composite structures. Existing AE localization techniques based on the time difference of arrival are limited to homogeneous isotropic materials and are not suitable for the anisotropic...

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Veröffentlicht in:	IEEE sensors journal 2024-05, Vol.24 (9), p.14007-14017
Hauptverfasser:	Bhandari, Binayak, Maung, Phyo Thu, Oromiehie, Ebrahim, Prusty, Gangadhara B.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Acoustic emission Acoustic emission (AE) Applications programs Artificial neural networks Composite structures Continuous wavelet transform continuous wavelet transform (CWT) Continuous wavelet transforms Data points Deep learning deep learning (DL) Isotropic material Laminar composites laminate composite Localization Location awareness Machine learning Model accuracy Monitoring scalogram Sensors structure health monitoring (SHM) Technology assessment Testing Training Waveforms Wavelet transforms
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