Automated crack feature detection in remote visual inspection of nuclear power plant structures

Fei, Zhouxiang and West, Graeme and Murray, Paul and Dobie, Gordon (2023) Automated crack feature detection in remote visual inspection of nuclear power plant structures. In: Nuclear Decommissioning Authority Innovation and Technology Roadshow, 2023-06-28 - 2023-06-28, Glasgow, UK.

[thumbnail of Fei-etal-NDAITR-2023-Automated-crack-feature-detection-in-remote-visual]
Preview
Text. Filename: Fei_etal_NDAITR_2023_Automated_crack_feature_detection_in_remote_visual.pdf
Final Published Version
License: Strathprints license 1.0

Download (1MB)| Preview

Abstract

Assurance of the normal condition of components is necessary for safe continued operation. Manual visual inspection may be prone to large volume of inspection data, making the manual assessment laborious and lengthy. This project develops a decision-support tool based on deep learning to automatically detect crack features in the inspection footage of superheater tube plate upper radius region.

ORCID iDs

Fei, Zhouxiang ORCID logoORCID: https://orcid.org/0000-0002-5003-3949, West, Graeme ORCID logoORCID: https://orcid.org/0000-0003-0884-6070, Murray, Paul ORCID logoORCID: https://orcid.org/0000-0002-6980-9276 and Dobie, Gordon ORCID logoORCID: https://orcid.org/0000-0003-3972-5917;