A new signal analysis method after wavelet packet de-noising

Author

Ma, Wen-sheng ; Ren, Xue-ping ; Chen, Zhao-bo

Author_Institution

Sch. of Mech. Eng., Inner Mongolia Univ. of Sci. & Technol., Baotou

Volume

1

fYear

2008

fDate

30-31 Aug. 2008

Firstpage

426

Lastpage

431

Abstract

A new residual signal spectrum analysis and statistics analysis method is proposed after wavelet packet de-noising. Firstly, decompose the original vibration signal by wavelet packet theory. Secondly, extract the residual signal between the de-noised vibration signal and the original vibration signal. Finally, get the trait frequency of fault signal by residual signal spectrum analysis, judge the machine run state by residual signal statistics analysis.

Keywords

signal denoising; statistical analysis; wavelet transforms; de-noised vibration signal; fault signal; machine run state; residual signal extraction; residual signal spectrum analysis; residual signal statistics analysis; trait frequency; wavelet packet de-noising; wavelet packet theory; Frequency; H infinity control; Noise reduction; Pattern analysis; Signal analysis; Statistical analysis; Vibrations; Wavelet analysis; Wavelet packets; Wavelet transforms; De-noising; Fault diagnosis; Residual signal; Wavelet packet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Wavelet Analysis and Pattern Recognition, 2008. ICWAPR '08. International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-2238-8

Electronic_ISBN

978-1-4244-2239-5

Type

conf

DOI

10.1109/ICWAPR.2008.4635817

Filename

4635817