Wavelet Analysis for Electronic Signal of Submerged Arc Welding Process

Author

Kuanfang, He ; Jigang, Wu ; Xuejun, Li

Author_Institution

Hunan Provincial Key Lab. of Health Maintenance for Mech. Equip., Hunan Univ. of Sci. & Technol., Xiantan, China

Volume

3

fYear

2011

fDate

6-7 Jan. 2011

Firstpage

1139

Lastpage

1141

Abstract

In the practical experiment to electrical signal of submerged arc welding process, it is difficult to avoid noises, so an important step is to eliminate the disturb of noise. Based on the wavelet algorithm, wavelet packet filtering method is analyzed in this paper. It has been proved by the experiments that the wavelet packet filtering based on soft threshold is a better de-noising method, Filtering electric signal of submerged arc welding by wavelet packet filtering method can keep the break position of the signal, and it can improve the effect of extracting signal characteristics.

Keywords

acoustic noise; arc welding; filtering theory; interference suppression; signal denoising; wavelet transforms; denoising method; electrical signal; electronic signal; noise elimination; signal extraction; submerged arc welding process; wavelet algorithm; wavelet analysis; wavelet packet filtering; Filtering; Noise; Noise reduction; Wavelet analysis; Wavelet packets; Welding; electronic arc signal; submerged arc welding; wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on

Conference_Location

Shangshai

Print_ISBN

978-1-4244-9010-3

Type

conf

DOI

10.1109/ICMTMA.2011.853

Filename

5721690