Modeling and diagnostic techniques applicable to the analysis of pressure noise in pressurized water reactors and pressure-sensing systems

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Description

Pressure noise data from a PWR are interpreted by means of a computer-implemented model. The model's parameters, namely hydraulic impedances and noise sources, are either calculated or deduced from fits to data. Its accuracy is encouraging and raises the possibility of diagnostic assistance for nuclear plant monitoring. A number of specific applications of pressure noise in the primary system of a PWR and in a pressure sensing system are suggested.

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Pages: 9

Creation Information

Mullens, J.A. & Thie, J.A. January 1, 1984.

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Description

Pressure noise data from a PWR are interpreted by means of a computer-implemented model. The model's parameters, namely hydraulic impedances and noise sources, are either calculated or deduced from fits to data. Its accuracy is encouraging and raises the possibility of diagnostic assistance for nuclear plant monitoring. A number of specific applications of pressure noise in the primary system of a PWR and in a pressure sensing system are suggested.

Physical Description

Pages: 9

Notes

NTIS, PC A02/MF A01; 1.

Source

  • Specialists' meeting on reactor noise - SMORN IV, Dijon, France, 15 Oct 1984

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  • Other: DE85002474
  • Report No.: CONF-841017-2
  • Grant Number: AC05-84OR21400
  • Office of Scientific & Technical Information Report Number: 6477476
  • Archival Resource Key: ark:/67531/metadc1208166

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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.

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Creation Date

  • January 1, 1984

Added to The UNT Digital Library

  • July 5, 2018, 11:11 p.m.

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  • Oct. 1, 2018, 12:12 p.m.

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Mullens, J.A. & Thie, J.A. Modeling and diagnostic techniques applicable to the analysis of pressure noise in pressurized water reactors and pressure-sensing systems, article, January 1, 1984; United States. (https://digital.library.unt.edu/ark:/67531/metadc1208166/: accessed May 24, 2019), University of North Texas Libraries, Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.