Title :
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
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;
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
DOI :
10.1109/ICWAPR.2008.4635817
