Application of artificial intelligence to stator winding fault diagnosis in Permanent Magnet Synchronous Machines

Electric Power Systems Research

Volumn 103, Issue , 2013, Pages 201-213

  Nyanteh, Yaw D ^a   Srivastava, Sanjeev K ^a   Edrington, Chris S ^a   Cartes, David A ^a  

^a FLORIDA STATE UNIVERSITY   (United States)

Author keywords

Artificial Neural Network; Extended Kalman Filter Method; Particle Swarm Optimization; Stator winding short circuit

Indexed keywords

FAULT DIAGNOSIS METHOD; FAULT DIAGNOSIS SYSTEMS; NEURAL NETWORK CLUSTERS; OPERATIONAL CONDITIONS; PARTICLE SWARM OPTIMIZATION ALGORITHM; PERMANENT MAGNET SYNCHRONOUS MACHINES; STATOR WINDING SHORT; ZERO SEQUENCE CURRENT;

ALGORITHMS; COMPUTER SIMULATION; ELECTRIC MACHINERY; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); POWER CONVERTERS; SYNCHRONOUS MACHINERY; WINDING;

STATORS;

EID: 84879975991     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.epsr.2013.05.018     Document Type: Article

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