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Volumn 38, Issue 7, 2011, Pages 8978-8989

Orthogonal least square center selection technique - A robust scheme for multiple source Partial Discharge pattern recognition using Radial Basis Probabilistic Neural Network

Author keywords

Neural Network (NN); Orthogonal least square (OLS) algorithm; Partial Discharge (PD); Probabilistic Neural Network (PNN); Radial Basis Function Neural Network (RBFNN); Radial Basis Probabilistic Neural Network (RBPNN)

Indexed keywords

ACQUISITION SYSTEMS; APPLIED VOLTAGES; CLUSTERING METHODS; CURSE OF DIMENSIONALITY; FIXED SIZE; HANDLING POWER; HETEROSCEDASTIC; HIDDEN LAYER NEURONS; ILL-CONDITIONED; INSULATION SYSTEM; INTERNATIONAL STANDARDS; MULTIPLE SOURCE; NON-INTRUSIVE; NON-MARKOVIAN; OPTIMAL SETS; ORTHOGONAL LEAST SQUARE ALGORITHMS; ORTHOGONAL LEAST SQUARES; PARTIAL DISCHARGE PATTERN RECOGNITION; PD MEASUREMENTS; PD PATTERN; POWER EQUIPMENT; PROBABILISTIC NEURAL NETWORKS; RADIAL BASIS FUNCTION NEURAL NETWORK (RBFNN); RADIAL BASIS FUNCTION NEURAL NETWORKS; RADIAL BASIS PROBABILISTIC NEURAL NETWORK (RBPNN); RADIAL BASIS PROBABILISTIC NEURAL NETWORKS; RANDOM SELECTION; SELECTION ALGORITHM; SELECTION TECHNIQUES; STANDARD VERSIONS; TESTING TECHNIQUE; TRAINING DATA SETS; TRAINING METHODS; TRAINING PHASE; TRAINING SETS; WAVELET TRANSFORMATIONS; WEIBULL FUNCTIONS;

EID: 79952445682     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.01.115     Document Type: Article
Times cited : (32)

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