Open AccessPrincipal 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 - 2017
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.31274/etd-180810-5749
Subject(s) - principal component analysis , key (lock) , nuclear power plant , degradation (telecommunications) , component (thermodynamics) , statistical analysis , reliability engineering , engineering , computer science , environmental science , electrical engineering , statistics , mathematics , artificial intelligence , physics , nuclear physics , thermodynamics , computer security
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