Title :
Best Wavelet Packet Power Measurement Based on Energy Threshold Entropy
Author :
Xuewei, Wang ; Yong, Zhao ; Lin, Wangli
Author_Institution :
Coll. of Inf. Sci. & Technol., Beijing Univ. of Chem. Technol., Beijing, China
Abstract :
Firstly, a sub-band energy threshold entropy was proposed as information measurement cost function. Then a novel best wavelet packet power measurement algorithm was proposed, which can decompose power signals into sub-bands adaptively according to the energy distribution, meanwhile, this algorithm can perform the decomposition of power energy in one wavelet packet process. The simulation using db40 wavelets shows that: the measurement relative errors of root mean square (RMS) and the active power are less than 6×10-5 in the total band, and the quoted errors of active power are less than 8.2×10-5 in the sub-bands.
Keywords :
entropy; power measurement; wavelet transforms; RMS error; best wavelet packet power measurement; db40 wavelets; information measurement cost function; power energy decomposition; root mean square errors; subband energy threshold entropy; Automation; Best Wavelet Packet; Power Measurement; RMS Measurement; Sub-band Energy Threshold Entropy;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location :
Shenzhen, Guangdong
Print_ISBN :
978-1-61284-289-9
DOI :
10.1109/ICICTA.2011.100