DocumentCode :
3520018
Title :
Application of Adaptive Wavelet Thresholding Algorithm in Mould Friction Signal Denoising
Author :
Wang Hong-jun ; Si Xiang-fei ; Zhao Zhuo-qun
Author_Institution :
Tianjin Key Lab. for Control Theor. & Applic. in Complicated Syst., Tianjin Univ. of Technol., Tianjin, China
fYear :
2011
fDate :
28-29 May 2011
Firstpage :
1
Lastpage :
4
Abstract :
The noise always affects the accuracy result of the abrupt breakout signal, during the analysis of mould friction signal of continuous slab casting. The traditional signal de-noising method makes the signal´s edges information ambiguous as reduce the noise, and which leads to signal´s partly distortion. In this paper, based on wavelet threshold de-noising, proposed by Dohono, using an adaptive wavelet threshold to the separation of signal and noise, experiments show that the adaptive wavelet threshold method can well remove the noise, the new method can improve signal-to-noise ratio. Furthermore, the integrity of the detail information still well guaranteed at the same time.
Keywords :
adaptive signal processing; casting; continuous production; moulding; production engineering computing; signal denoising; slabs; source separation; wavelet transforms; abrupt breakout signal; adaptive wavelet thresholding algorithm; continuous slab casting; mould friction signal analysis; mould friction signal denoising; noise reduction; noise removal; signal distortion; signal edge information; signal-noise separation; signal-to-noise ratio; Friction; Noise reduction; Signal to noise ratio; Wavelet analysis; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Applications (ISA), 2011 3rd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9855-0
Electronic_ISBN :
978-1-4244-9857-4
Type :
conf
DOI :
10.1109/ISA.2011.5873312
Filename :
5873312
Link To Document :
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