Automated image stitching for fuel channel inspection of AGR cores
Murray, Paul and West, Graeme and Lynch, Chris and Marshall, Stephen and McArthur, Stephen; Flewitt, Peter and Wickham, Anthony, eds. (2015) Automated image stitching for fuel channel inspection of AGR cores. In: The 4th EDF Energy Nuclear Graphite Symposium. EMAS Publishing, GBR. ISBN 9780957673052
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Visual inspection of fuel channels is an important element of the understanding of the health of the current fleet of AGR reactors. When a fuel channel is inspected, video footage of the entire inside surface is recorded through a series of vertical scans of the channel. When areas of interest such as cracks are identified, screenshots of these areas are taken and manually stitched together to produce a montage of the region of interest. This is a lengthy process, which requires an experienced person to undertake. The resultant montages are assessed and then included in the TV GAP sheet, a document that forms part of the case for return to service. This paper describes an automated approach which uses advanced image processing techniques to recreate a full 360° image of the inside surface of the channel using the same video input. These images offer a significant improvement in the quality over the manual approach, provides 100% coverage of the channel and can be generated in a fraction of the time of the manual images. The software has been applied to over 30 recent channel inspections, and has been demonstrated using footage from all 7 AGR stations.
ORCID iDs
Murray, Paul ORCID: https://orcid.org/0000-0002-6980-9276, West, Graeme ORCID: https://orcid.org/0000-0003-0884-6070, Lynch, Chris, Marshall, Stephen ORCID: https://orcid.org/0000-0001-7079-5628 and McArthur, Stephen ORCID: https://orcid.org/0000-0003-1312-8874; Flewitt, Peter and Wickham, Anthony-
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Item type: Book Section ID code: 57029 Dates: DateEvent1 August 2015PublishedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 21 Jul 2016 12:02 Last modified: 11 Nov 2024 15:06 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/57029