Synchrophasor-based data mining for power system fault analysis

IEEE PES Innovative Smart Grid Technologies Conference Europe

Volumn , Issue , 2012, Pages

  Al Karim, Miftah ^a   Chenine, Moustafa ^a   Zhu, Kun ^a   Nordstrom, Lars ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

Clustering algorithm; k Nearest Neighbor algorithm; Na ve Bayes algorithm; pattern recognition; Phasor measurement Unit; power system faults

Indexed keywords

BAYES ALGORITHMS; DATA MINING TASKS; DATA MINING TECHNIQUES; FAULT DATA; HIGH DEFINITION; HIGH RESOLUTION; K NEAREST NEIGHBOR ALGORITHM; K-MEANS CLUSTERING; K-NEAREST NEIGHBORS; PATTERN RECOGNITION ALGORITHMS; POWER SYSTEM ANALYSIS; POWER SYSTEM FAULT; ROOT CAUSE; SYNCHRONIZED POWER SYSTEM;

CLUSTERING ALGORITHMS; PATTERN RECOGNITION; PHASOR MEASUREMENT UNITS; SMART POWER GRIDS; TEXT PROCESSING;

DATA MINING;

EID: 84874686701     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISGTEurope.2012.6465843     Document Type: Conference Paper

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