DocumentCode
3219505
Title
Wavelet de-noising double-threshold optimization method and its application
Author
Wang, Chuanxin ; Shao, Cheng ; Han, Yu
Author_Institution
Inst. of Adv. Control Technol., Dalian Univ. of Technol., Dalian, China
fYear
2010
fDate
9-11 June 2010
Firstpage
1542
Lastpage
1546
Abstract
A method based on ant colony algorithm is given for optimizing wavelet de-noising double-threshold. The optimization interval and the objective function are chosen according to the difference of autocorrelation coefficient, which belong to signal´s wavelet coefficient and noise´s wavelet coefficient respectively. The optimal upper threshold and lower threshold are calculated by ant colony algorithm. Simulation and compressor vibration fault detection application results demonstrate that the proposed method can optimize the de-noising threshold and de-noising effectively.
Keywords
Ant colony optimization; Autocorrelation; Automatic control; Fault detection; Fourier transforms; Noise reduction; Optimization methods; Signal analysis; Signal processing; Wavelet coefficients;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation (ICCA), 2010 8th IEEE International Conference on
Conference_Location
Xiamen, China
ISSN
1948-3449
Print_ISBN
978-1-4244-5195-1
Electronic_ISBN
1948-3449
Type
conf
DOI
10.1109/ICCA.2010.5524308
Filename
5524308
Link To Document