Title :
Precision spectrum analysis of the grinding wheel unbalanced signal
Author :
Hong, Yang Xiao ; Jing, Xu ; Chen Zhao Feng
Author_Institution :
Dept. of Air Control Eng., Aaviation Univ. of Air Force, Changchun, China
Abstract :
This article studied the signal reconstruction algorithm of unbalanced vibration signal under strong disturbance background based on weight load balancing principle. Using the precise spectrum analysis method, we can carry out signal reconstruction and obtain the true value of grinding wheel unbalance quantity. Given a kind of unbalanced signal extraction and reconstruction method based on the wavelet packet translation, the ability and validity of extracting grinding wheel unbalanced vibration signal between FIR band-pass filter and the wavelet packet algorithm are studied and compared, and the difficult question of accurate extraction of unbalanced vibration signal can be solved.
Keywords :
grinding; grinding machines; signal reconstruction; vibrations; wavelet transforms; wheels; FIR band-pass filter; grinding wheel unbalanced signal; precision spectrum analysis; signal extraction; signal reconstruction; vibration signal; wavelet packet algorithm; wavelet packet translation; weight load balancing principle; Time frequency analysis; Vibrations; grinding wheel balancing; precision spectral analysis; signal extraction;
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
DOI :
10.1109/CMCE.2010.5609991