Title :
RMS and power measurements based on Wavelet packet decomposition using special IIR filter bank
Author :
Ying Hai ; Jing-Yu Chen
Author_Institution :
Sch. of Electr. & Mech. Eng., Univ. of Jiaxing, Jiaxing, China
Abstract :
Wavelet packet decomposition (WPD), has been applied to meter the root mean square(RMS) and power. when using the method based on WPD for RMS and power measurement, the computational complexity of this algorithm is high, operation speed is low and unsuitable for the hardware realization. As results, the algorithm is not used popularly in practical application. Considering the problems above, This paper proposes the use of all-pass implemented special half-band elliptic infinite-impulse-response filters in the Wavelet packet decomposition of power measurements, The study of this paper reveals the proposed implementation reduces the computational complexity to levels comparable to FFT. the computer simulation experiment and Actual test results confirm the validity and accurate performance of the proposed method for power measurement.
Keywords :
IIR filters; all-pass filters; channel bank filters; computational complexity; elliptic filters; fast Fourier transforms; power filters; power measurement; power system measurement; FFT; all-pass implemented elliptic infinite-impulse-response filters; computational complexity; computer simulation; fast Fourier transforms; power measurements; root mean square measurements; special IIR filter bank; special half-band elliptic infinite-impulse-response filters; wavelet packet decomposition; Computational complexity; Filter banks; IIR filters; Power harmonic filters; Power measurement; Wavelet packets; Elliptic half-band filters; Power measurement; Rms measurement Introduction; Wavelet packet decomposition;
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang, China
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6022855