2017 11th IEEE International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) 2017
DOI: 10.1109/cpe.2017.7915245
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Cluster analysis for Power Quality monitoring

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Cited by 6 publications
(3 citation statements)
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“…For this reason, the author of the paper uses clustering techniques to divide acquired data into groups that reflect operating conditions. In work [8], a technique based on graphical cluster analysis was developed to be implemented in a smart power quality analyzer, to monitor electrical networks. In the presence of a fault, the equipment starts the measurement procedure and higher order statistics are calculated in the time domain to allow classification.…”
Section: State Of Artmentioning
confidence: 99%
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“…For this reason, the author of the paper uses clustering techniques to divide acquired data into groups that reflect operating conditions. In work [8], a technique based on graphical cluster analysis was developed to be implemented in a smart power quality analyzer, to monitor electrical networks. In the presence of a fault, the equipment starts the measurement procedure and higher order statistics are calculated in the time domain to allow classification.…”
Section: State Of Artmentioning
confidence: 99%
“…In articles [7][8][9][10][11][12][13][14][15][16][17], clustering techniques are used for purposes different from the objective of this paper, such as monitoring, identification and classification of events, location of the source and pattern recognition of voltage sags. These references were presented to identify the application of cluster analysis in the power quality area.…”
Section: State Of Artmentioning
confidence: 99%
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