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The Detection and Location of Power Quality Disturbances Based on Orthogonal Wavelet Packet Transform

机译:基于正交小波包变换的电能质量扰动检测与定位

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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.
机译:提出了一种基于正交小波包变换的电能质量检测与定位的新方法。首先讨论了正交小波包变换和小波基函数选择的理论;模拟了在电源频率上具有高斯白噪声的第二种电能质量扰动;然后,基于通用阈值和斯坦因无偏风险阈值的概念,提出了一种软阈值方法,以解决实际信号检测中的降噪问题。最后利用正交小波包变换对电能质量扰动进行了检测和定位。结果表明,该方法具有较好的检测性能。它可以更准确地检测和定位瞬变的发生时间和持续时间。该方法适合于检测瞬变并处理其他非时变信号。

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