Artificial neural network approach for locating internal faults in salient-pole synchronous generator

Expert Systems with Applications

Volumn 38, Issue 10, 2011, Pages 13328-13341

  Yaghobi, Hamid ^a   Mashhadi, Habib Rajabi ^a   Ansari, Kourosh ^a  

^a FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

Author keywords

Fault diagnosis; Linkage flux analysis; Radial basis neural network; Synchronous generator

Indexed keywords

ARTIFICIAL NEURAL NETWORK APPROACH; DIAGNOSIS PERFORMANCE; EXPERIMENTAL DATA; FAULT DIAGNOSIS; FAULT DIAGNOSIS METHOD; FEM SIMULATIONS; FLUX LINKAGES; GENERALIZED REGRESSION NEURAL NETWORKS; INTERNAL FAULTS; LINKAGE FLUX ANALYSIS; MAGNETIC FLUX LINKAGE; MEYER WAVELET; PROBABILISTIC NEURAL NETWORKS; RADIAL BASIS NEURAL NETWORK; TIME-CONSUMING PROCESS; TRAINING DATABASE;

COMPUTER SIMULATION; DISCRETE WAVELET TRANSFORMS; ELECTRIC FAULT CURRENTS; FINITE ELEMENT METHOD; MAGNETIC FLUX; MAGNETIC STRUCTURE; METADATA; SYNCHRONOUS GENERATORS;

NEURAL NETWORKS;

EID: 79957997927     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.04.157     Document Type: Article

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