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Dry Storage Containers are used by Ontario Power Generation (OPG) to store spent nuclear fuel that occurs due to power generation. These containers require inspection to ensure the welded seam sealing the lid to the container base contains no defects. Currently, this time-consuming process limits the production of these containers at a time when energy demand from nuclear is increasing. The primary objective of this proposed project is to facilitate future automation of analyses by acquiring, relating, aligning, and analyzing large datasets from multiple sources (reports, ultrasonic probes, etc.). This work will entail the development of data extraction, management, manipulation, and visualization tools, as well as building a novel dataset with isolated defect indications related to source ultrasonic data as well as weld and inspection metadata.
Roman Maev
Ontario Power Generation (Pickering)
Computer science
Professional, scientific and technical services; Utilities
University of Windsor
Business Strategy Internship
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