dataset for 'A Cyclic Self-enhancement Technique for Complex Defect Profile Reconstruction based on Thermographic Evaluation'

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dc.contributor.authorLiu, Haochen
dc.contributor.authorWang, Shuozhi
dc.contributor.authorDeng, Kailun
dc.contributor.authorZhao, Yifan
dc.date.accessioned2024-06-07T03:30:39Z
dc.date.available2024-06-07T03:30:39Z
dc.date.issued2023-04-05 13:01
dc.description.abstractThe dataset for this research is the synthetic dataset combined FEM simulation and experimental results of a Pulsed Thermography (PT) inspection for flat-bottom hole defects in metal materials.
dc.identifier.citationLiu, Haochen; Wang, Shuozhi; Deng, Kailun; Zhao, Yifan (2023). dataset for 'A Cyclic Self-enhancement Technique for Complex Defect Profile Reconstruction based on Thermographic Evaluation'. Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.22559989
dc.identifier.doi10.17862/cranfield.rd.22559989
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/22016
dc.publisherCranfield University
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject'Non-destructive Testing and Evaluation'
dc.subject'Complex defect reconstruction'
dc.subject'Generative Adversarial Network'
dc.subject'Thermographic data augmentation'
dc.subject'Self-enhancement'
dc.titledataset for 'A Cyclic Self-enhancement Technique for Complex Defect Profile Reconstruction based on Thermographic Evaluation'
dc.typeDataset

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