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

Volume

1

fYear

2011

fDate

4-7 Aug. 2011

Firstpage

217

Lastpage

219

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/URKE.2011.6007801

Filename

6007801