2008 · 11 citations · 3 references
EngineeringElectrical EngineeringEnergy SystemsQuality EngineeringTime Series AnalysisDigital Signal ProcessingFault DetectionPower QualityPower SystemsSignal Detection TheorySignal ProcessingBasis Function SelectionPower Quality MonitoringRisk Threshold AnalysisRisk-based Threshold ModelsWavelet AnalysisWavelet Packet TransformWavelet TransformWhite Noise
A novel method of power quality detection and location using orthogonal wavelet packet transform was proposed. First the theories of orthogonal wavelet packet transform and wavelet basis function choice were discussed; second power quality disturbances with white Gaussian noise in power frequency were simulated; then, a soft-threshold method based on the concept of universal threshold and Stein unbiased risk threshold was given for solving the problem of de-noising in actual signal detection; finally power quality disturbances were detected and localized using orthogonal wavelet packet transform. The results show that the method proposed has a better detection performance; it has more accurate detection and location of the occurrence time and duration of transient. The method is suitable for detection of the transient and processing other non-time- varying signal.
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De-noising by soft-thresholding
David L. Donoho · IEEE Transactions on Information Theory · 1995 · 9.6K citations