Automated analysis of AGR fuel channel inspection videos
Devereux, Michael and Murray, Paul and West, Graeme and Buckley-Mellor, Stephen and Cocks, Graeme and Lynch, Chris and Fletcher, Adam; (2018) Automated analysis of AGR fuel channel inspection videos. In: 6th EDF-Energy Nuclear Graphite Conference (2018). FESI publishing, GBR. (In Press)
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Remote Visual Inspection of the fuel channels which form the reactor cores of the UK’s fleet of Advanced Gas-Cooled Reactors (AGRs) occurs during planned periodic outages and provides station operators with a detailed understanding of core condition. A typical single fuel channel inspection generates a large amount of footage which must be analysed before the station is returned to power (provided it is safe to do so). While manual approaches are currently used, inspection videos can be analysed efficiently using techniques from image processing and computer vision. For example, the ASIST (Automated Software Image Stitching Tool) software processes inspection videos to construct a single image known as a chanorama (channel panorama) which allows the full inside surface of a single fuel channel to be viewed in a snapshot. To accurately characterise defects such as cracks in chanoramas, their dimensions need to be measured. This requires channel features of known size to serve as references to calculate scaling factors. These features vary from station to station and include overall brick dimensions, trepanned holes and keyways. In this paper, we propose a series of algorithms to automatically detect and measure the dimensions of each of these known features. In turn, this information can be used to generate a scaling factor which can be applied when sizing any cracks detected in a given chanorama.
ORCID iDs
Devereux, Michael, Murray, Paul ORCID: https://orcid.org/0000-0002-6980-9276, West, Graeme ORCID: https://orcid.org/0000-0003-0884-6070, Buckley-Mellor, Stephen, Cocks, Graeme, Lynch, Chris and Fletcher, Adam;-
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Item type: Book Section ID code: 68155 Dates: DateEvent1 November 2018Published1 November 2018Accepted31 October 2018SubmittedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Strategic Research Themes > EnergyDepositing user: Pure Administrator Date deposited: 30 May 2019 15:38 Last modified: 13 Oct 2024 00:19 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/68155