Title :
Power system fault data compression based on wavelet packet transform and vector quantization
Author :
Zhaoning, Zhang ; Yigang, Zhang ; Chunju, Fan ; Weiyong, Yu ; Jianxu, Luo ; Peng, Mao
Author_Institution :
Air Traffic Manage. Coll., Civil Aviation Univ. of China, Tianjin, China
Abstract :
According to the characteristics of fault transient signal of a power system, some principles of fault signal compression are proposed. That is keeping some waveband lossless compression and other waveband lossy compression. An integrated signal compression algorithm based on wavelet packet transform, Huffman coding and vector quantization is proposed. Programming software is also given. The simulation result shows this algorithm can precisely meet the requirements of signal compression in a power system and have great application potential.
Keywords :
Huffman codes; data compression; power system faults; vector quantisation; wavelet transforms; Huffman coding; data compression; fault transient signal; power system fault; programming software; simulation; vector quantization; waveband lossless compression; waveband lossy compression; wavelet packet transform; Application software; Compression algorithms; Data compression; Huffman coding; Power system faults; Power system simulation; Power system transients; Vector quantization; Wavelet packets; Wavelet transforms;
Conference_Titel :
Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on
Print_ISBN :
0-7803-7459-2
DOI :
10.1109/ICPST.2002.1047256
