Deep Learning Empowered Structural Health Monitoring and Damage Diagnostics for Structures with Weldment via Decoding Ultrasonic Guided Wave

• Published in: Sensors (Basel, Switzerland) Vol. 22; no. 14; p. 5390
• Main Authors: Zhang, Zi, Pan, Hong, Wang, Xingyu, Lin, Zhibin
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 19.07.2022; MDPI
• Subjects: Accuracy; Artificial intelligence; convolutional neural network; data-driven approach; Deep learning; Defects; machine learning; Neural networks; nondestructive detection; Nondestructive testing; Propagation; Simulation; Steel pipes; structural health monitoring; ultrasonic guided wave; Velocity; Wavelet transforms

Welding is widely used in the connection of metallic structures, including welded joints in oil/gas metallic pipelines and other structures. The welding process is vulnerable to the inclusion of different types of welding defects, such as lack of penetration and undercut. These defects often initial...