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• W2370036309 abstract "The authors propose a method to detect and classify dynamic power quality disturbances (DPQDs) based on Mathematical Morphology (MM). In this method the opening operation of rectified signal's absolute value is performed to filtrate the spike noise, then the dilation operation of flat structuring element, whose length is one half of the period of power frequency, to extract the magnitude characteristic of the signal; meanwhile, the gradient operation of short flat structuring element to differential signal is performed to detect and locate the singular point, thus the defect of possibly undetecting singular point by traditional methods is remedied. Based on the obtained magnitude characteristic of the signal and the morphologic gradient of the differential signal, five kinds of dynamic power quality disturbances, i.e., voltage sag, voltage swell, voltage interruption, transient pulse and oscillation, can be classified. Simulation results show that the proposed method can effectively detect, locate and analyze dynamic power quality disturbances." @default.
• W2370036309 created "2016-06-24" @default.
• W2370036309 creator A5079303257 @default.
• W2370036309 date "2006-01-01" @default.
• W2370036309 modified "2023-09-23" @default.
• W2370036309 title "Mathematical Morphology Based Detection and Classification of Dynamic Power Quality Disturbances" @default.
• W2370036309 hasPublicationYear "2006" @default.
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