Automatic inspection for remotely manufactured fuel elements

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Description

Two classification techniques, standard control charts and artificial neural networks, are studied as a means for automating the visual inspection of the welding of end plugs onto the top of remotely manufactured reprocessed nuclear fuel element jackets. Classificatory data are obtained through measurements performed on pre- and post-weld images captured with a remote camera and processed by an off-the-shelf vision system. The two classification methods are applied in the classification of 167 dummy stainless steel (HT9) fuel jackets yielding comparable results.

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9 p.

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Reifman, J.; Vitela, J.E.; Gibbs, K.S. & Benedict, R.W. June 1, 1995.

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Description

Two classification techniques, standard control charts and artificial neural networks, are studied as a means for automating the visual inspection of the welding of end plugs onto the top of remotely manufactured reprocessed nuclear fuel element jackets. Classificatory data are obtained through measurements performed on pre- and post-weld images captured with a remote camera and processed by an off-the-shelf vision system. The two classification methods are applied in the classification of 167 dummy stainless steel (HT9) fuel jackets yielding comparable results.

Physical Description

9 p.

Notes

INIS; OSTI as DE95012289

Source

  • 6. American Nuclear Society meeting on robotics and remote systems, Monterey, CA (United States), 5-10 Feb 1995

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  • Other: DE95012289
  • Report No.: ANL/RA/CP--82800
  • Report No.: CONF-950232--34
  • Grant Number: W-31-109-ENG-38
  • Office of Scientific & Technical Information Report Number: 89517
  • Archival Resource Key: ark:/67531/metadc791837

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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  • June 1, 1995

Added to The UNT Digital Library

  • Dec. 19, 2015, 7:14 p.m.

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  • Jan. 6, 2016, 2:44 p.m.

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Reifman, J.; Vitela, J.E.; Gibbs, K.S. & Benedict, R.W. Automatic inspection for remotely manufactured fuel elements, article, June 1, 1995; Illinois. (digital.library.unt.edu/ark:/67531/metadc791837/: accessed November 21, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.