Fault diagnosis and reconfiguration for multilevel inverter drive using AI-based techniques

IEEE Transactions on Industrial Electronics

Volumn 54, Issue 6, 2007, Pages 2954-2968

  Khomfoi, Surin ^a   Tolbert, Leon M ^b  

^a KING MONGKUT'S INSTITUTE OF TECHNOLOGY LADKRABANG   (Thailand)

^b University of Tennessee Knoxville   (United States)

Author keywords

Fault diagnosis; Multilevel inverter; Neural network (NN); Reconfiguration

Indexed keywords

ARTIFICIAL INTELLIGENCE; ELECTRIC DRIVES; ELECTRIC FAULT CURRENTS; ELECTRIC POTENTIAL; FAILURE ANALYSIS; GENETIC ALGORITHMS; MATHEMATICAL MODELS; MULTILAYER NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; SHORT CIRCUIT CURRENTS; COMPUTER SIMULATION; FEATURE EXTRACTION;

MULTILEVEL INVERTER DRIVE; OUTPUT PHASE VOLTAGES; RECONFIGURATION METHOD;

ELECTRIC INVERTERS; NEURAL NETWORKS;

CASCADED H-BRIDGE; CLASSIFICATION PERFORMANCE; EXPERIMENTAL TEST; FAULT DIAGNOSTIC SYSTEMS; FAULT DIAGNOSTICS; FAULT TYPES; INPUT SIZE; INPUT SPACE; MULTI-LAYER PERCEPTRON NETWORKS; MULTILEVEL INVERTER; NONLINEAR FACTORS; OUTPUT PHASE; PRINCIPAL COMPONENTS; RECONFIGURATION; SHORT-CIRCUIT FAULT; SIMULATION TESTS; SWITCHING DEVICES; SYSTEM COMPLEXITY;

EID: 36248986607     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2007.906994     Document Type: Article

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