Expert system for identification of simultaneous and sequential reactor fuel failures with gas tagging
Abstract
Failure of a fuel element in a nuclear reactor core is determined by a gas tagging failure detection system and method. Failures are catalogued and characterized after the event so that samples of the reactor's cover gas are taken at regular intervals and analyzed by mass spectroscopy. Employing a first set of systematic heuristic rules which are applied in a transformed node space allows the number of node combinations which must be processed within a barycentric algorithm to be substantially reduced. A second set of heuristic rules treats the tag nodes of the most recent one or two leakers as "background" gases, further reducing the number of trial node combinations. Lastly, a "fuzzy" set theory formalism minimizes experimental uncertainties in the identification of the most likely volumes of tag gases. This approach allows for the identification of virtually any number of sequential leaks and up to five simultaneous gas leaks from fuel elements.
- Inventors:
-
- Bolingbrook, IL
- Issue Date:
- Research Org.:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- OSTI Identifier:
- 869414
- Patent Number(s):
- 5333157
- 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:
- expert; identification; simultaneous; sequential; reactor; fuel; failures; gas; tagging; failure; element; nuclear; core; determined; detection; method; catalogued; characterized; event; samples; cover; regular; intervals; analyzed; mass; spectroscopy; employing; set; systematic; heuristic; rules; applied; transformed; node; space; allows; combinations; processed; barycentric; algorithm; substantially; reduced; treats; tag; nodes; recent; leakers; background; gases; reducing; trial; lastly; fuzzy; theory; formalism; minimizes; experimental; uncertainties; volumes; approach; virtually; leaks; five; elements; tag nodes; gas tag; gas tagging; substantially reduced; fuel elements; fuel element; nuclear reactor; reactor core; reactor fuel; tag gas; cover gas; substantially reduce; mass spectroscopy; tag node; failure detection; tagging failure; approach allows; regular intervals; gas leak; gas leaks; node space; /376/
Citation Formats
Gross, Kenny C. Expert system for identification of simultaneous and sequential reactor fuel failures with gas tagging. United States: N. p., 1994.
Web.
Gross, Kenny C. Expert system for identification of simultaneous and sequential reactor fuel failures with gas tagging. United States.
Gross, Kenny C. Sat .
"Expert system for identification of simultaneous and sequential reactor fuel failures with gas tagging". United States. https://www.osti.gov/servlets/purl/869414.
@article{osti_869414,
title = {Expert system for identification of simultaneous and sequential reactor fuel failures with gas tagging},
author = {Gross, Kenny C},
abstractNote = {Failure of a fuel element in a nuclear reactor core is determined by a gas tagging failure detection system and method. Failures are catalogued and characterized after the event so that samples of the reactor's cover gas are taken at regular intervals and analyzed by mass spectroscopy. Employing a first set of systematic heuristic rules which are applied in a transformed node space allows the number of node combinations which must be processed within a barycentric algorithm to be substantially reduced. A second set of heuristic rules treats the tag nodes of the most recent one or two leakers as "background" gases, further reducing the number of trial node combinations. Lastly, a "fuzzy" set theory formalism minimizes experimental uncertainties in the identification of the most likely volumes of tag gases. This approach allows for the identification of virtually any number of sequential leaks and up to five simultaneous gas leaks from fuel elements.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1994},
month = {1}
}