Abstract
The wavelet multi-resolution analysis is very suitable for the analysis and processing of vibration signal. During the vibration signal filtering, the different wavelet function had immediate effect on filtering; as the different vanishing moment, the support length and filter length are different which caused to the different filtering efficiency. The wavelet function selection method is put forward included the waveform of wavelet function, the vanishing moment of wavelet function and the curvilinear smoothness of filtered signal. Emulated with the vibration signal of rotor experiment platform as an example, selected Db6 as filtering wavelet function, filtering processed the vibration signal, and the effect of signal filter was very obviously.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Cohen, A., Daubechies, I., Feauveau, J.: Biorthogonal bases of compactly supported wavelets. Commun. Pure Appl. 45(3), 485–560 (1992)
Ding, A., Shi, G., Zhang, N., Jiao, L.: Signal Compression and Design of Wavelet Based on Waveform Matching. Journal of Electronics & Information Technology 29(4), 804–807 (2007)
Xia, D., Zhou, B., Wang, S.: Application of wavelet’s real-time filter in silicon micromachined gyroscope. Journal of Chinese Inertial Technology 15(1), 92–95 (2007)
Kugarajah, T., Zhang, Q.: Multidimensional Wavelet Frames. IEEE Transactions On Neural Network 6(6), 1552–1556 (1995)
Guan, S., Shi, X.: Fabric Defect Detection Based on Wavelet Lifting Scheme. Computer Engineering and Applications 44(25), 219–221 (2008)
Feng, G., Li, J., Liu, P.: Noise and Vibration Source Identification in Light Bus Based on Wavelet. Journal of Vibration, Measurement & Diagnosis 26(3), 196–199 (2006)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag GmbH Berlin Heidelberg
About this paper
Cite this paper
Meng, X., Wang, J. (2013). Research on Method of Wavelet Function Selection to Vibration Signal Filtering. In: Gaol, F. (eds) Recent Progress in Data Engineering and Internet Technology. Lecture Notes in Electrical Engineering, vol 156. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28807-4_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-28807-4_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28806-7
Online ISBN: 978-3-642-28807-4
eBook Packages: EngineeringEngineering (R0)