DocumentCode
539538
Title
A New Extraction Algorithm for Mass-radius Product Signal
Author
Liang, Liu ; Yuyi, Zhai ; Huanxin, Luo ; Wenjie, Lu
Author_Institution
Sch. of Mechatron. & Autom., Shanghai Univ., Shanghai, China
Volume
1
fYear
2011
fDate
6-7 Jan. 2011
Firstpage
154
Lastpage
157
Abstract
The purpose of this paper is to prove the validity of wavelet theory. By comparing with traditional filtering and Fourier Transform Algorithm, we found that the wavelet theory has a good filtering effect, which has a simple mathematical operation, better data processing results and low requirement on data quantity. This method is suitable for online detection of rotor balancing. We find that the wavelet theory has a good filtering effect and demanded less dates, simple mathematical operation, and better data processing results. Wavelet transform is suitable for online detection of the rotor balancing. From the balance tests, we got some representative waveforms and experimental data. It is proved that the signal extraction algorithm is effective and engineering practicable. Much more satisfied results can be gained from wavelet method.
Keywords
filtering theory; mass production; rotors; signal detection; wavelet transforms; filtering effect; mass-radius product signal; online detection; rotor balancing; signal extraction algorithm; wavelet theory; wavelet transform; Algorithm design and analysis; Filtering; Hardware; Multiresolution analysis; Wavelet transforms; Dynamic Balance; Mass-radius Product; Vibration Signal; Wavelet Transform;
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.2011.44
Filename
5720745
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