Automated Flaw Detection in Multi-channel Phased Array Ultrasonic Data Using Machine Learning

Modern ultrasonic inspections utilize ever-richer data-sets made possible by phased array equipment. A typical inspection may include tens of channels with different refraction angle, that are acquired at high speed. These rich data sets allow highly reliable and efficient inspection in complex case...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of nondestructive evaluation 2021-09, Vol.40 (3), Article 67
Hauptverfasser:	Siljama, Oskar, Koskinen, Tuomas, Jessen-Juhler, Oskari, Virkkunen, Iikka
Format:	Artikel
Sprache:	eng
Schlagworte:	Application Artificial neural networks Austenitic stainless steels Automation Characterization and Evaluation of Materials Classical Mechanics Control Datasets Dissimilar metals Dynamical Systems Engineering Flaw detection Inspection Machine learning Neural networks Phased arrays Signal to noise ratio Solid Mechanics Technology Trends in NDE 4.0: Purpose Ultrasonic testing Vibration
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!