Data mining approach for supply unbalance detection in induction motor

Expert Systems with Applications

Volumn 36, Issue 9, 2009, Pages 11808-11813

  Çakir, Abdülkadir ^a   Çaliş, Hakan ^a   Küçüksille, Ecir U ^a  

^a SULEYMAN DEMIREL UNIVERSITY   (Turkey)

Author keywords

Current zero crossing; Data mining; Fault detection; Induction motor; Voltage unbalance

Indexed keywords

ADDITIVE REGRESSION; ALGORITHM MODEL; BACK-PROPAGATION NEURAL NETWORKS; CURRENT ZERO CROSSING; DATA MINING ALGORITHM; DATA MINING PROCESS; M5 MODEL TREE; M5'RULES; PACE REGRESSION; SECOND HARMONICS; SEQUENTIAL MINIMAL OPTIMIZATION; SIMULATION RESULT; SUPPLY CURRENTS; SUPPLY FREQUENCY COMPONENT; SUPPLY VOLTAGES; VOLTAGE UNBALANCE;

CROSSINGS (PIPE AND CABLE); DATA MINING; FAULT DETECTION; INFORMATION MANAGEMENT; MINING; MOTORS; NEURAL NETWORKS; REGRESSION ANALYSIS;

INDUCTION MOTORS;

EID: 67349088415     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.04.006     Document Type: Article

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