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Title: 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:
 [1];  [2];  [3];  [4]
  1. Bolingbrook, IL
  2. Idaho Fall, ID
  3. Wheaton, IL
  4. Downers Grove, IL
Issue Date:
Research Org.:
Argonne National Laboratory (ANL), Argonne, IL (United States)
OSTI Identifier:
870829
Patent Number(s):
5602886
Assignee:
University of Chicago (Chicago, IL)
Patent Classifications (CPCs):
G - PHYSICS G21 - NUCLEAR PHYSICS G21C - NUCLEAR REACTORS
Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y02 - TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE Y02E - REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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. Wed . "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 = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1997},
month = {1}
}

Works referenced in this record:

Approximate reconstruction of PET data with a self-organizing neural network
journal, May 1995