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Supervised and Unsupervised AI-Driven Structural Health Monitoring Framework for Additively Manufactured Metal Components

Structural health monitoring (SHM) of additively manufactured (AM) small and complex components is investigated using a sensor-based signal processing and machine-learning framework. Guided-wave responses acquired from piezoelectric transducers are analyzed to evaluate the performance of sweep-sine...

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Principais autores: Romaine Byfield, Ahmed Shabaka, Ibrahim Tansel
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2026-06-01
coleção:Sensors
Assuntos:
Acesso em linha:https://www.mdpi.com/1424-8220/26/11/3547
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