Friday - December 19, 2025
PNNL Report Finds Machine Learning Boosts Detection of Nuclear Plant Cable Faults
December 09, 2025
WASHINGTON, Dec. 9 (TNSLrpt) -- The U.S. Department of Energy Office of Nuclear Energy has issued report PNNL-34821, 'Spread Spectrum Time Domain Reflectometry SSTDR and Frequency Domain Reflectometry FDR for Detection of Cable Anomalies Using Machine Learning,' authored by S.W. Glass, J.R. Tedeschi, M.P. Spencer, M. Elen, J. Son, M. Taufique, D. Li and L.S. Fifield of Pacific Northwest National Laboratory, with J.A. Farber and A.Y. Al Rashdan of Idaho National Laboratory. The document . . .

Targeted News Service Document Request Form

This document is available to you by e-mail if you complete the form below with relevant information. There may be a fee for this article or ongoing service of similar materials. We will be in touch shortly.

Name:
What's your
Affiliation
Government Newspaper / Media Business
Public Policy Individual / Student Educators
Email:
Phone:
Organization, if any:
State/Country you are in:
Additonal questions
or comments:

Click here for more information about our products

Click here for more information about our products