Neural net controlled tag gas sampling system for nuclear reactors
Abstract
A method and system for providing a tag gas identifier to a nuclear fuel rod and analyze escaped tag gas to identify a particular failed nuclear fuel rod. The method and system include disposing a unique tag gas composition into a plenum of a nuclear fuel rod, monitoring gamma ray activity, analyzing gamma ray signals to assess whether a nuclear fuel rod has failed and is emitting tag gas, activating a tag gas sampling and analysis system upon sensing tag gas emission from a failed nuclear rod and evaluating the escaped tag gas to identify the particular failed nuclear fuel rod.
- Inventors:
-
- Bolingbrook, IL
- Idaho Fall, ID
- Wheaton, IL
- Downers Grove, IL
- Publication Date:
- Research Org.:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- OSTI Identifier:
- 870829
- Patent Number(s):
- US 5602886
- Assignee:
- University of Chicago (Chicago, IL)
- DOE Contract Number:
- W-31109-ENG-38
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- neural; net; controlled; tag; gas; sampling; nuclear; reactors; method; providing; identifier; fuel; rod; analyze; escaped; identify; particular; failed; disposing; unique; composition; plenum; monitoring; gamma; ray; activity; analyzing; signals; assess; emitting; activating; analysis; sensing; emission; evaluating; gas composition; gas sampling; nuclear reactors; gamma ray; nuclear fuel; nuclear reactor; fuel rod; tag gas; neural net; /376/
Citation Formats
Gross, Kenneth C, Laug, Matthew T, Lambert, John D. B., and Herzog, James P. Neural net controlled tag gas sampling system for nuclear reactors. United States: N. p., 1997.
Web.
Gross, Kenneth C, Laug, Matthew T, Lambert, John D. B., & Herzog, James P. Neural net controlled tag gas sampling system for nuclear reactors. United States.
Gross, Kenneth C, Laug, Matthew T, Lambert, John D. B., and Herzog, James P. 1997.
"Neural net controlled tag gas sampling system for nuclear reactors". United States. https://www.osti.gov/servlets/purl/870829.
@article{osti_870829,
title = {Neural net controlled tag gas sampling system for nuclear reactors},
author = {Gross, Kenneth C and Laug, Matthew T and Lambert, John D. B. and Herzog, James P},
abstractNote = {A method and system for providing a tag gas identifier to a nuclear fuel rod and analyze escaped tag gas to identify a particular failed nuclear fuel rod. The method and system include disposing a unique tag gas composition into a plenum of a nuclear fuel rod, monitoring gamma ray activity, analyzing gamma ray signals to assess whether a nuclear fuel rod has failed and is emitting tag gas, activating a tag gas sampling and analysis system upon sensing tag gas emission from a failed nuclear rod and evaluating the escaped tag gas to identify the particular failed nuclear fuel rod.},
doi = {},
url = {https://www.osti.gov/biblio/870829},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jan 01 00:00:00 EST 1997},
month = {Wed Jan 01 00:00:00 EST 1997}
}
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Works referenced in this record:
Approximate reconstruction of PET data with a self-organizing neural network
journal, May 1995
- Comtat, C.; Morel, C.
- IEEE Transactions on Neural Networks, Vol. 6, Issue 3