Title :
Compression and realization of power quality disturbance data based on wavelet analysis
Author :
Hongtu, Zhao ; Dongmei, Xi
Author_Institution :
Coll. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiao Zuo, China
Abstract :
It is an important aspect of wavelet application that wavelet transform is used for signal compression, and the series of compactly supported orthogonal wavelet has outstanding local properties. This paper uses the method which combines the compactly supported orthogonal wavelet db4 with threshold method of minimax theorem to compress power quality disturbance signals. The concrete operation process and the program flow are given, and the problems of selecting wavelet and choosing threshold are also mainly discussed. The MATLAB simulation shows the proposed method can achieve a good compression effect through the proper choice of decomposition layer.
Keywords :
data compression; minimax techniques; power system faults; wavelet transforms; MATLAB simulation; compactly supported orthogonal wavelet; decomposition layer; minimax theorem; power quality disturbance data; signal compression; wavelet transform; Data compression; MATLAB; Power quality; Time frequency analysis; Wavelet transforms; MATLAB simulation; compression of power quality disturbance data; db4 wavelet; threshold method of minimax theorem;
Conference_Titel :
Uncertainty Reasoning and Knowledge Engineering (URKE), 2011 International Conference on
Conference_Location :
Bali
Print_ISBN :
978-1-4244-9985-4
Electronic_ISBN :
978-1-4244-9984-7
DOI :
10.1109/URKE.2011.6007801
