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.

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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.

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• Item metadata

  Item type:	Conference or Workshop Item(Poster)
  ID code:	86530
  Dates:	Date Event 28 June 2023 Published
  Subjects:	Science > Physics > Nuclear and particle physics. Atomic energy. Radioactivity
  Department:	Faculty of Engineering > Electronic and Electrical Engineering Strategic Research Themes > Energy
  Depositing user:	Pure Administrator
  Date deposited:	18 Aug 2023 00:48
  Last modified:	25 Apr 2024 01:50
  Related URLs:	https://www.strath.ac.uk/research/advanc...
  URI:	https://strathprints.strath.ac.uk/id/eprint/86530