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...

Olles dieđut

Bibliográfalaš dieđut

Váldodahkkit:	Romaine Byfield, Ahmed Shabaka, Ibrahim Tansel
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	MDPI AG 2026-06-01
Ráidu:	Sensors
Fáttát:	structural health monitoring piezoelectric transducers signal processing time–frequency analysis machine learning deep learning
Liŋkkat:	https://www.mdpi.com/1424-8220/26/11/3547
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!