PNNL Report Finds Machine Learning Boosts Detection of Nuclear Plant Cable Faults
December 09, 2025
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 . . .
