Automatic Discontinuity Classification of Wind-turbine Blades Using A-scan-based Convolutional Neural Network

• Published in: Journal of modern power systems and clean energy Vol. 9; no. 1; pp. 210 - 218
• Main Authors: Jiyeon Choung, Sun Lim, Seung Hwan Lim, Su Chung Chi, Mun Ho Nam
• Format: Journal Article
• Language: English
• Published: IEEE 01.01.2021
• Subjects: A-scan; blade inspection platform; convolutional neural network (CNN); discontinuity; phased-array ultrasonic testing (PAUT); Wind-turbine blade (WTB)

Recent development trends in wind power generation have increased the importance of the safe operation of wind-turbine blades (WTBs). To realize this objective, it is essential to inspect WTBs for any defects before they are placed into operation. However, conventional methods of fault inspection in...