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• W2088895629 abstract "Detection of power quality (PQ) events is a significant task for the power system monitoring. This paper presents a new method for the detection of PQ disturbances using mathematical morphologic and information theory, which employs the generalized morphologic filter as pre-processing unit and difference entropy as a feature extracting unit. A simulation on six ideal signals, such as ideal sine wave, interruption, voltage sag, voltage swell, impulse and oscillation transient, is done and its results show that the proposed method has good adaptability on signals excepting disturbance occurs on cross-zero instant." @default.
• W2088895629 created "2016-06-24" @default.
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• W2088895629 date "2009-03-01" @default.
• W2088895629 modified "2023-09-24" @default.
• W2088895629 title "Detection of Power Quality Disturbances Based on Generalized Morphological Filter and Information Theory" @default.
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• W2088895629 doi "https://doi.org/10.1109/appeec.2009.4918273" @default.
• W2088895629 hasPublicationYear "2009" @default.
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