Thermal imaging dataset from composite material academic samples inspected by pulsed thermography
This paper presents a thermal imaging dataset from composite material samples (carbon and glass fiber reinforced plastic) that were inspected by pulsed thermography with the goal of detecting and characterizing subsurface defective zones (Teflon inserts representing delaminations between plies). The...
Main Authors: | Jorge Erazo-Aux, Humberto Loaiza-Correa, Andres David Restrepo-Giron, Clemente Ibarra-Castanedo, Xavier Maldague |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2020-10-01
|
Series: | Data in Brief |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340920312075 |
Similar Items
-
Automatic Defects Segmentation and Identification by Deep Learning Algorithm with Pulsed Thermography: Synthetic and Experimental Data
by: Qiang Fang, et al.
Published: (2021-02-01) -
Dynamic Line-Scan Thermography for the Inspection of Paper-Based Materials: A Case Study Focused on an Ancient Book Cover
by: Hai Zhang, et al.
Published: (2019-09-01) -
Quantitative Evaluation of Pulsed Thermography, Lock-in Thermography and Vibrothermography on Foreign Object Defect (FOD) in CFRP
by: Bin Liu, et al.
Published: (2016-05-01) -
Independent Component Analysis Applied on Pulsed Thermographic Data for Carbon Fiber Reinforced Plastic Inspection: A Comparative Study
by: Julien R. Fleuret, et al.
Published: (2021-05-01) -
Automatic Detection and Identification of Defects by Deep Learning Algorithms from Pulsed Thermography Data
by: Duan, Y., et al.
Published: (2023)