Automated image stitching for enhanced visual inspections of nuclear power stations
Murray, Paul and West, Graeme and Marshall, Stephen and McArthur, Stephen; (2013) Automated image stitching for enhanced visual inspections of nuclear power stations. In: 10th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2013 (CM 2013 AND MFPT 2013). British Institute of Non-Destructive Testing, POL. ISBN 9781629939926
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Abstract
In the UK, visual inspection of the fuel channels of the Advanced Gas-cooled Reactor (AGR) nuclear power stations forms an integral part of understanding the health of the reactor cores. During a statutory outage, video footage of the inside of selected fuel channels is recorded. Features of interest and anomalies are manually identified by an expert who extracts frames from the video to create a composite image for the feature of interest. This is a laborious and time consuming process which can be costly to station operators who must produce these images before returning the station to service. This paper describes an automatic technique capable of generating a 2D image of the entire internal bore of the channel. The technique uses the position of the camera coupled with advanced image processing techniques to generate a high-resolution image of the whole channel. This allows surface details to be viewed in relation to each other, and the rest of the channel, while facilitating a direct comparison of any anomalies over time. In addition, the time taken by this automated technique to produce a full core image is a fraction of that taken to manually stitch an image for a much smaller area.
ORCID iDs
Murray, Paul ORCID: https://orcid.org/0000-0002-6980-9276, West, Graeme ORCID: https://orcid.org/0000-0003-0884-6070, Marshall, Stephen ORCID: https://orcid.org/0000-0001-7079-5628 and McArthur, Stephen ORCID: https://orcid.org/0000-0003-1312-8874;-
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Item type: Book Section ID code: 44589 Dates: DateEvent18 June 2013PublishedSubjects: 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: 27 Aug 2013 13:19 Last modified: 11 Nov 2024 15:09 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/44589