Evaluation of fire models for nuclear power plant applications

cable tray fires : international panel report

Publisher: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology in Gaithersburg, MD

Written in English
Published: Downloads: 767
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Subjects:

  • Nuclear power plants -- Fires and fire prevention -- Research,
  • Nuclear power plants -- Fires and fire prevention -- Mathematical models,
  • Nuclear reactors -- Fires and fire prevention -- Research,
  • Nuclear reactors -- Fires and fire prevention -- Mathematical models,
  • Fire prevention -- Research

Edition Notes

Other titlesCable tray fires
Statementcompiled by Monideep K. Dey
SeriesNISTIR -- 6872
ContributionsDey, Monideep K, Building and Fire Research Laboratory (U.S.), National Institute of Standards and Technology (U.S.)
The Physical Object
FormatMicroform
Pagination1 v. (various pagings)
ID Numbers
Open LibraryOL15441415M

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Title Evaluation of fire models for nuclear power plant applications, cable tray fires [electronic resource]: international panel report / compiled by Monideep K.

Dey, Fire Research Division, Building and Fire Research Laboratory. Evaluation of fire models for nuclear power plant applications cable tray fires: international panel report.

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[Monideep K Dey; U.S. Nuclear Regulatory Commission. Division of Risk Analysis and Applications.]. Get this from a library.

Evaluation of fire models for nuclear power plant applications, cable tray fires: international panel report. [Monideep K Dey; Building and Fire Research Laboratory (U.S.); National Institute of Standards and Technology (U.S.);].

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Statistical Characterization of Cable Electrical Failure Temperatures Due to Fire for Nuclear Power Plant Risk Applications. Nuclear Consultants International, LLC (NCI) is an autonomously constituted business unit of Holtec International.

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In this paper, auto-regressive integrated moving average (ARIMA) time-series data forecast models are evaluated to ascertain their feasibility in predicting human–machine interface (HMI) state transitions, which are modeled as multivariate time-series patterns. Human–machine interface states generally include changes in their visually displayed information brought about due to both process Author: Harsh V.

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