Automated in-core image generation from video to aid visual inspection of nuclear power plant cores
- Submitting institution
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University of Strathclyde
- Unit of assessment
- 12 - Engineering
- Output identifier
- 111818013
- Type
- D - Journal article
- DOI
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10.1016/j.nucengdes.2015.11.037
- Title of journal
- Nuclear Engineering and Design
- Article number
- -
- First page
- 57
- Volume
- 300
- Issue
- -
- ISSN
- 0029-5493
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Algorithms described in this research are deployed by Jacobs in the ASIST (Automated Software Image Stitching Tool) software system at EDF Energy, as industrially supported software that generates 'Chanorama' images for every fuel channel inspection across all 7 UK AGR nuclear power stations. The ASIST software saves 12 critical path hours per outage and 120 person-hours overall (equating to ~£340k per outage). Images generated by the algorithms are used by the Office for Nuclear Regulation's 'return to service' document for Hunterston B Nuclear Power Station (http://www.onr.org.uk/pars/2019/hunterston-b-19-004.pdf). The ASIST software was shortlisted for the EDF Innovation Award (contact: Dr Jim Reed).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
