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.
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© 2013 Springer-Verlag GmbH Berlin Heidelberg
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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
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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
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