A methodology for characterizing fault tolerant switched reluctance motors using neurogenetically derived models

IEEE Transactions on Energy Conversion

Volumn 17, Issue 3, 2002, Pages 380-384

  Belfore II, Lee A ^a,b   Arkadan, A ^a,c  

^a IEEE

^b Old Dominion University   (United States)

^c Marquette University   (United States)

Author keywords

Fault tolerance; Finite element methods; Genetic algorithms; Neural networks; Synchronous motors

Indexed keywords

BACKPROPAGATION; ELECTRIC DRIVES; FAILURE ANALYSIS; FEEDFORWARD NEURAL NETWORKS; FINITE ELEMENT METHOD; GENETIC ALGORITHMS; MAGNETIC CIRCUITS; MAGNETIC MATERIALS; MATHEMATICAL MODELS; ROTORS (WINDINGS); STATE SPACE METHODS;

BACKPROPAGATION NEURAL NETWORK; FAULT TOLERANT SWITCHED RELUCTANCE MOTOR; NONLINEAR MAGNETIC MATERIAL;

RELUCTANCE MOTORS;

EID: 0036747139     PISSN: 08858969     EISSN: None     Source Type: Journal    
DOI: 10.1109/TEC.2002.801999     Document Type: Article

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