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Title: Intelligent Automated Nuclear Fuel Pellet Inspection System

Abstract

At the present time, nuclear pellet inspection is performed manually using naked eyes for judgment and decisionmaking on accepting or rejecting pellets. This current practice of pellet inspection is tedious and subject to inconsistencies and error. Furthermore, unnecessary re-fabrication of pellets is costly and the presence of low quality pellets in a fuel assembly is unacceptable. To improve the quality control in nuclear fuel fabrication plants, an automated pellet inspection system based on advanced techniques is needed. Such a system addresses the following concerns of the current manual inspection method: (1) the reliability of inspection due to typical human errors, (2) radiation exposure to the workers, and (3) speed of inspection and its economical impact. The goal of this research is to develop an automated nuclear fuel pellet inspection system which is based on pellet video (photographic) images and uses artificial intelligence techniques.

Authors:
Publication Date:
Research Org.:
USDOE Idaho Operations Office, Idaho Falls, ID; University of MO-Rolla, Rolla, MO (US)
Sponsoring Org.:
USDOE Office of Energy Research (ER) (US)
OSTI Identifier:
754854
Report Number(s):
DOE/ID/13644
TRN: US0005085
DOE Contract Number:  
FG07-98ID13644
Resource Type:
Technical Report
Resource Relation:
Other Information: PBD: 1 Nov 1999
Country of Publication:
United States
Language:
English
Subject:
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; 11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS; ARTIFICIAL INTELLIGENCE; FUEL PELLETS; INSPECTION; NUCLEAR FUELS; QUALITY CONTROL; FUEL FABRICATION PLANTS; ON-LINE MEASUREMENT SYSTEMS; DESIGN; FUEL PELLET INSPECTION; AUTOMATED; PHOTOGRAPHIC IMAGE; FUEL FABRICATION

Citation Formats

S. Keyvan. Intelligent Automated Nuclear Fuel Pellet Inspection System. United States: N. p., 1999. Web. doi:10.2172/754854.
S. Keyvan. Intelligent Automated Nuclear Fuel Pellet Inspection System. United States. doi:10.2172/754854.
S. Keyvan. Mon . "Intelligent Automated Nuclear Fuel Pellet Inspection System". United States. doi:10.2172/754854. https://www.osti.gov/servlets/purl/754854.
@article{osti_754854,
title = {Intelligent Automated Nuclear Fuel Pellet Inspection System},
author = {S. Keyvan},
abstractNote = {At the present time, nuclear pellet inspection is performed manually using naked eyes for judgment and decisionmaking on accepting or rejecting pellets. This current practice of pellet inspection is tedious and subject to inconsistencies and error. Furthermore, unnecessary re-fabrication of pellets is costly and the presence of low quality pellets in a fuel assembly is unacceptable. To improve the quality control in nuclear fuel fabrication plants, an automated pellet inspection system based on advanced techniques is needed. Such a system addresses the following concerns of the current manual inspection method: (1) the reliability of inspection due to typical human errors, (2) radiation exposure to the workers, and (3) speed of inspection and its economical impact. The goal of this research is to develop an automated nuclear fuel pellet inspection system which is based on pellet video (photographic) images and uses artificial intelligence techniques.},
doi = {10.2172/754854},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Nov 01 00:00:00 EST 1999},
month = {Mon Nov 01 00:00:00 EST 1999}
}

Technical Report:

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