Simulation-based diagnostics and control for nuclear power plants. Final report, April 15, 1992--April 14, 1995

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The objective of the project was to develop and test a simulation-based diagnostics and control guidance system that can be used to diagnose and manage off-normal transient events in nuclear power plants. The research has focused on developing two diagnostic approaches suitable for detection and identification of faults involving multiple components, subject to uncertainties in system modeling and observations. The first approach is based on a fuzzy logic framework that can diagnose binary failures using a single-failure diagnostic knowledge base. Construction of the binary-failure knowledge base is accomplished through the use of macroscopic conservation relationships and a fuzzy inference structure ... continued below

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Medium: P; Size: 24 p.

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Lee, J.C. July 1, 1995.

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Description

The objective of the project was to develop and test a simulation-based diagnostics and control guidance system that can be used to diagnose and manage off-normal transient events in nuclear power plants. The research has focused on developing two diagnostic approaches suitable for detection and identification of faults involving multiple components, subject to uncertainties in system modeling and observations. The first approach is based on a fuzzy logic framework that can diagnose binary failures using a single-failure diagnostic knowledge base. Construction of the binary-failure knowledge base is accomplished through the use of macroscopic conservation relationships and a fuzzy inference structure is developed to determine the magnitude of faults and the associated certainty. In the second diagnostic approach, an adaptive Kalman filter algorithm is derived to yield information on the type and magnitude of feasible component transitions that can account for system observations. To obtain the likelihood of feasible component failures or degradations, a general probabilistic formulation is developed where statistical distributions associated with component reliability data are explicitly represented. Testing of the diagnostic algorithms has been performed through the analysis of simulated transient events for light water reactor systems. Preliminary studies have been conducted to develop Monte Carlo algorithms for flexible control of transient events.

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Medium: P; Size: 24 p.

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INIS; OSTI as DE96001985

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  • Other Information: PBD: Jul 1995

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  • Other: DE96001985
  • Report No.: DOE/ER/75712--3
  • Grant Number: FG02-92ER75712
  • DOI: 10.2172/125083 | External Link
  • Office of Scientific & Technical Information Report Number: 125083
  • Archival Resource Key: ark:/67531/metadc623013

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  • July 1, 1995

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  • June 16, 2015, 7:43 a.m.

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  • Feb. 1, 2016, 1:45 p.m.

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Lee, J.C. Simulation-based diagnostics and control for nuclear power plants. Final report, April 15, 1992--April 14, 1995, report, July 1, 1995; United States. (digital.library.unt.edu/ark:/67531/metadc623013/: accessed October 20, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.