DocumentCode :
2613935
Title :
De-noising and Compression of Power Fault Signals Based on Best Multiwavelet Packet
Author :
Zhigang, Liu ; Dabo, Zhang ; Dandan, Ma
Author_Institution :
Inst. of Electrification & Autom., Southwest Jiaotong Univ., Sichuan
fYear :
2005
fDate :
2005
Firstpage :
1
Lastpage :
5
Abstract :
Multiwavelets own better properties than classical wavelets. Multiwavelet packet is introduced and its decomposition is discussed in the paper. The choice algorithm of best multiwavelet packet is proposed based on wavelet packet. Through analysis and discussion about calculation results of best multiwavelet packet, some useful conclusions are drawn. The de-noising and data compression are two basic processing means for power fault signals. Best multiwavelet packet is introduced in de-noising and data compression of power fault signals. The corresponding algorithms are improved based on wavelets, and they are used in the simulation calculation. The simulation results show that better effect may be obtained with best multiwavelet packet than with multiwavelet, wavelet and wavelet packet at the same condition
Keywords :
data compression; power system faults; signal denoising; wavelet transforms; data compression; multiwavelet packet algorithm; power fault signal; signal denoising; Circuit faults; Circuit noise; Data compression; Frequency; Noise reduction; Power system faults; Power system simulation; Power system transients; Signal processing; Wavelet packets; Best Base; Data Compression; De-noising; Multiwavelet Packet; Multiwavelets; Power Fault Signals;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES
Conference_Location :
Dalian
Print_ISBN :
0-7803-9114-4
Type :
conf
DOI :
10.1109/TDC.2005.1546941
Filename :
1546941
Link To Document :
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