Title :
Study on Vibration Signal Denoising of Electric Spindle Based on Wavelet Transform
Author_Institution :
Dept. of Mech. Eng., Huai Yin Inst. of Technol., Huaian, China
Abstract :
An testing and processing method of electric spindle status is presented in this article, It is based on wavelet transform. Wavelet transform is selected as its processing platform, it is very important. The theory of wavelet transform and Mallat method are studied deeply. The main point discussed in this paper is how to handle the noises, especially about acceleration. Finally, according to signals and noises presenting different characteristics after wavelet transform, the inverse wavelet transform can be used to reconstruct signal, The simulating results show that signal denoising and comeback will be realized. It is significant that can present actual characteristics, it is helpful to science study and decision by CNC.
Keywords :
machine tool spindles; signal denoising; signal reconstruction; vibrations; wavelet transforms; Mallat method; electric spindle status processing method; electric spindle status testing method; inverse wavelet transform; machine tool; signal reconstruction; vibration signal denoising; Acceleration; Computer numerical control; Fast Fourier transforms; Fourier transforms; Signal analysis; Signal denoising; Signal processing; Vibrations; Wavelet analysis; Wavelet transforms; Denoising; Electric spindle; Vibration; Wavelet transform;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics, 2009. IHMSC '09. International Conference on
Conference_Location :
Hangzhou, Zhejiang
Print_ISBN :
978-0-7695-3752-8
DOI :
10.1109/IHMSC.2009.24