
Principal component analysis (PCA) as a statistical tool for identifying key indicators of nuclear power plant cable insulation degradation
Author(s) -
Chamila Chandima De Silva
Publication year - 2018
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.31274/etd-180810-5749
Subject(s) - principal component analysis , nuclear power plant , key (lock) , degradation (telecommunications) , component (thermodynamics) , statistical analysis , engineering , reliability engineering , computer science , electrical engineering , statistics , mathematics , physics , artificial intelligence , nuclear physics , computer security , thermodynamics