Improved Online Localization of CANDU Fuel Defects Using Ancillary Data Sources and Neural Networks
Author:
Affiliation:
1. University of Strathclyde, Department of Electronic & Electrical Engineering, Glasgow, United Kingdom
2. Bruce Power, Tiverton, Ontario, Canada
Publisher
Informa UK Limited
Subject
Condensed Matter Physics,Nuclear Energy and Engineering,Nuclear and High Energy Physics
Link
https://www.tandfonline.com/doi/pdf/10.1080/00295450.2019.1697174
Reference21 articles.
1. K. EDSINGER et al. “Recent US Fuel Reliability Experience,” TOP Fuel, WWRFPM (2009); http://inis.iaea.org/Search/search.aspx?orig_q=RN:40094823 (current as of Oct. 7, 2019).
2. Fuel R & D to Improve Fuel Reliability
3. “Management of Damaged Spent Nuclear Fuel,” IAEA Nuclear Energy Series No. NF-T-3.6, International Atomic Energy Agency (2009).
4. CURRENT STATUS OF INTEGRITY ASSESSMENT BY SIPPING SYSTEM OF SPENT FUEL BUNDLES IRRADIATED IN CANDU REACTOR
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