Research on Method of Wavelet Function Selection to Vibration Signal Filtering
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.
KeywordsVibration Signal Wavelet Function Filter Length Signal Decomposition Wavelet Family
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- 2.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)Google Scholar
- 3.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)Google Scholar
- 5.Guan, S., Shi, X.: Fabric Defect Detection Based on Wavelet Lifting Scheme. Computer Engineering and Applications 44(25), 219–221 (2008)Google Scholar
- 6.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)Google Scholar