Detection of high-resistance motor connections using symmetrical component analysis and neural network models

IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2003 - Proceedings

Volumn , Issue , 2003, Pages 2-6

  Colby, R S ^a  

^a SCHNEIDER ELECTRIC   (United States)

Author keywords

Circuit faults; Electric resistance; Electrical fault detection; Induction motors; Neural networks; Power system modeling; Predictive maintenance; Technological innovation; Temperature; Wiring

Indexed keywords

ELECTRIC CONNECTORS; ELECTRIC DRIVES; ELECTRIC FAULT LOCATION; ELECTRIC MACHINERY; ELECTRIC NETWORK ANALYSIS; ELECTRIC RESISTANCE; ELECTRIC WIRING; FAULT DETECTION; INDUCTION MOTORS; NETWORKS (CIRCUITS); NEURAL NETWORKS; POWER ELECTRONICS; TEMPERATURE;

CIRCUIT FAULTS; ELECTRICAL FAULT DETECTIONS; POWER SYSTEM MODEL; PREDICTIVE MAINTENANCE; TECHNOLOGICAL INNOVATION;

ELECTRIC MACHINE THEORY;

EID: 33749041322     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DEMPED.2003.1234538     Document Type: Conference Paper

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