Multi-Entropy Feature Extraction With LSTM Networks for Acoustic Emission-Based Railway Crack Localization

Railway infrastructure security is contingent upon the prompt identification of structural anomalies within steel tracks. This research establishes a framework that merges acoustic emission (AE) sensing with advanced machine learning for prompt fracture identification and location. To improve the qu...

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Detalhes bibliográficos

Principais autores:	Popphon Laon, Supavee Pourbunthidkul, Praphaporn Rattan, Tanawit Sahavisit, Wara Suwansin, Pattharin Wichittrakarn, Pattarapong Phasukkit, Nongluck Houngkamhang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2026-01-01
Colecção:	IEEE Access
Assuntos:	Acoustic emission sensors density-based spatial clustering of applications with noise approximate entropy Shannon entropy dimension entropy
Acesso em linha:	https://ieeexplore.ieee.org/document/11316645/
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