Neural network recognition of nuclear power plant transients. Final report, April 15, 1992--April 15, 1995

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The objective of this report is to describe results obtained during the second year of funding that will lead to the development of an artificial neural network (A.N.N) fault diagnostic system for the real-time classification of operational transients at nuclear power plants. The ultimate goal of this three-year project is to design, build, and test a prototype diagnostic adviser for use in the control room or technical support center at Duane Arnold Energy Center (DAEC); such a prototype could be integrated into the plant process computer or safety-parameter display system. The adviser could then warn and inform plant operators and ... continued below

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Medium: P; Size: 288 p.

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Bartlett, E.B. May 15, 1995.

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Description

The objective of this report is to describe results obtained during the second year of funding that will lead to the development of an artificial neural network (A.N.N) fault diagnostic system for the real-time classification of operational transients at nuclear power plants. The ultimate goal of this three-year project is to design, build, and test a prototype diagnostic adviser for use in the control room or technical support center at Duane Arnold Energy Center (DAEC); such a prototype could be integrated into the plant process computer or safety-parameter display system. The adviser could then warn and inform plant operators and engineers of plant component failures in a timely manner. This report describes the work accomplished in the second of three scheduled years for the project. Included herein is a summary of the second year`s results as well as descriptions of each of the major topics undertaken by the researchers. Also included are reprints of the articles written under this funding as well as those that were published during the funded period.

Physical Description

Medium: P; Size: 288 p.

Notes

INIS; OSTI as DE96001977

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  • Other Information: PBD: 15 May 1995

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  • Other: DE96001977
  • Report No.: DOE/ER/75700--3
  • Grant Number: FG02-92ER75700
  • DOI: 10.2172/125080 | External Link
  • Office of Scientific & Technical Information Report Number: 125080
  • Archival Resource Key: ark:/67531/metadc626741

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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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  • May 15, 1995

Added to The UNT Digital Library

  • June 16, 2015, 7:43 a.m.

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  • Dec. 9, 2015, 1:52 p.m.

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Bartlett, E.B. Neural network recognition of nuclear power plant transients. Final report, April 15, 1992--April 15, 1995, report, May 15, 1995; United States. (digital.library.unt.edu/ark:/67531/metadc626741/: accessed June 18, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.