Synchrophasor-based data mining for power system fault analysis
作者： Miftah Al Karim , Moustafa Chenine , Kun Zhu , Lars Nordstrom , Lars Nordström
DOI: 10.1109/ISGTEUROPE.2012.6465843
关键词:
摘要: Phasor measurement units can provide high resolution and synchronized power system data, which be effectively utilized for the implementation of data mining techniques. Data mining, based on pattern recognition algorithms significant help analysis, as definition is often complex to comprehend. In this paper three are applied perform tasks. The deployment carried out firstly fault classification, secondly checking faults occurring more frequently thirdly identifying root cause a by clustering parameters behind each scenario. For such purposes chosen, k-Nearest Neighbor, Naive Bayes k-means Clustering.
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