Research Output per year
Research Output per year
Project Details
Description
During routine inspections of CANDU nuclear reactors a selected subset of the pressure tubes which house the nuclear fuel are inspected ultrasonically. This generates a large volume of data which has to be manually assessed. In this project, we are examining the applicability of automated intelligent analysis techniques to support the manual sizing and classification of any observed defects.
| Short title | Automated Classification and Sizing of Pressure Tube Defects |
|---|---|
| Acronym | ADAPT |
| Status | Finished |
| Effective start/end date | 1/10/17 → 30/09/19 |
Funding
- Devonport Royal Dockyard Ltd (Babcock)
- EDF Energy Nuclear Generation Limited
- Bruce Power L.P.
- Devonport Royal Dockyard Ltd (Babcock)
- EDF Energy Nuclear Generation Limited
- Bruce Power L.P.
Fingerprint
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Research Output
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Automated pressure tube defect analysis
Zacharis, P., West, G., Wallace, C., Dobie, G. & Gachagan, A., 9 May 2019. 1 p.Research output: Contribution to conference › Poster
Open AccessFile25 Downloads (Pure) -
Automated sizing and classification of defects in CANDU pressure tubes
Lardner, T., West, G., Dobie, G. & Gachagan, A., 28 Sep 2017, (Accepted/In press) In: Nuclear Engineering and Design. 13 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile70 Downloads (Pure) -
Data-driven analysis of ultrasonic pressure tube inspection data
Zacharis, P., West, G. M., Dobie, G., Lardner, T. & Gachagan, A., 11 Jun 2017.Research output: Contribution to conference › Paper › peer-review
Open AccessFile1 Citation (Scopus)51 Downloads (Pure)