skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

This content will become publicly available on August 10, 2021

Title: Detecting loss-of-coolant accidents without accident-specific data

Authors:
ORCiD logo; ORCiD logo
Publication Date:
Sponsoring Org.:
USDOE Office of Nuclear Energy (NE)
OSTI Identifier:
1646955
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Progress in Nuclear Energy
Additional Journal Information:
Journal Name: Progress in Nuclear Energy Journal Volume: 128 Journal Issue: C; Journal ID: ISSN 0149-1970
Publisher:
Elsevier
Country of Publication:
United Kingdom
Language:
English

Citation Formats

Farber, Jacob A., and Cole, Daniel G. Detecting loss-of-coolant accidents without accident-specific data. United Kingdom: N. p., 2020. Web. https://doi.org/10.1016/j.pnucene.2020.103469.
Farber, Jacob A., & Cole, Daniel G. Detecting loss-of-coolant accidents without accident-specific data. United Kingdom. https://doi.org/10.1016/j.pnucene.2020.103469
Farber, Jacob A., and Cole, Daniel G. Thu . "Detecting loss-of-coolant accidents without accident-specific data". United Kingdom. https://doi.org/10.1016/j.pnucene.2020.103469.
@article{osti_1646955,
title = {Detecting loss-of-coolant accidents without accident-specific data},
author = {Farber, Jacob A. and Cole, Daniel G.},
abstractNote = {},
doi = {10.1016/j.pnucene.2020.103469},
journal = {Progress in Nuclear Energy},
number = C,
volume = 128,
place = {United Kingdom},
year = {2020},
month = {10}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on August 10, 2021
Publisher's Version of Record

Save / Share:

Works referenced in this record:

An Algorithm for Least-Squares Estimation of Nonlinear Parameters
journal, June 1963

  • Marquardt, Donald W.
  • Journal of the Society for Industrial and Applied Mathematics, Vol. 11, Issue 2
  • DOI: 10.1137/0111030

Another look at measures of forecast accuracy
journal, October 2006


Application of artificial neural networks to nuclear power plant transient diagnosis
journal, October 2007

  • Santosh, T. V.; Vinod, Gopika; Saraf, R. K.
  • Reliability Engineering & System Safety, Vol. 92, Issue 10
  • DOI: 10.1016/j.ress.2006.10.009

EDF Statistics for Goodness of Fit and Some Comparisons
journal, September 1974


Bayesian Interpolation
journal, May 1992


An accident diagnosis algorithm using long short-term memory
journal, May 2018


Novel approach to nonlinear/non-Gaussian Bayesian state estimation
journal, January 1993

  • Gordon, N. J.; Salmond, D. J.; Smith, A. F. M.
  • IEE Proceedings F Radar and Signal Processing, Vol. 140, Issue 2
  • DOI: 10.1049/ip-f-2.1993.0015

Nuclear Power Plant Status Diagnostics Using an Artificial Neural Network
journal, March 1992

  • Bartlett, Eric B.; Uhrig, Robert E.
  • Nuclear Technology, Vol. 97, Issue 3
  • DOI: 10.13182/NT92-A34635