Published June 17, 2001
| Version v1
Miscellaneous
Automation of Nuclear Fuel Pellet Quality Control
Description
It would be highly desirable to automate the pellet inspection process, which at the present time is done by humans using the naked eye for inspection. A prototype of an automated inspection system was developed. The system examines photographic images of pellets using various artificial intelligence techniques for image analysis and defect classification. The steps in the process are described
Availability note (English)
Available from American Nuclear Society, P.O. Box 97781, Chicago, IL 60678 (US)Additional details
Publishing Information
- Imprint Pagination
- 3 p.
- ISSN
- 0003-018X
- CODEN
- TANSAO
Conference
- Title
- 2001 ANS Annual Meeting
- Dates
- 17-21 Jun 2001
- Place
- Milwaukee, WI (United States)
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 32067446
- Subject category
- S11: NUCLEAR FUEL CYCLE AND FUEL MATERIALS;
- Resource subtype / Literary indicator
- Conference, Non-conventional Literature
- Descriptors DEI
- ARTIFICIAL INTELLIGENCE; AUTOMATION; CLASSIFICATION; DEFECTS; FUEL PELLETS; IMAGE PROCESSING; INSPECTION; NUCLEAR FUELS; QUALITY CONTROL
- Descriptors DEC
- CONTROL; ENERGY SOURCES; FUELS; MATERIALS; PELLETS; PROCESSING; REACTOR MATERIALS
Optional Information
- Notes
- Transactions of the American Nuclear Society, volume 84