A Method of Defect Depth Recognition in Active Infrared Thermography Based on GRU Networks

• Published in: Applied sciences Vol. 11; no. 14; p. 6387
• Main Authors: Xu, Li, Hu, Jianzhong
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2021
• Subjects: active infrared thermography; Conductivity; Datasets; Deep learning; defect depth recognition; Defects; gated recurrent unit; Heat conductivity; Neural networks; Polymethyl methacrylate; principal component analysis; Principal components analysis; Radiation; Thermography

Active infrared thermography (AIRT) is a significant defect detection and evaluation method in the field of non-destructive testing, on account of the fact that it promptly provides visual information and that the results could be used for quantitative research of defects. At present, the quantitati...