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Application of Continuous Wavelet Transform in Intensive Operational Modal Parameter Identification
DENG Xian-lai;JI Guo-yi
2012, 32 (3):
72-77.
DOI: 10.3969/j.issn.1006-1355.2012.03.017
To study the effects of the wavelet transform in intensive operational modal parameter identification, a mode system with three degrees of freedom containing two intensive frequencies was established. Applying narrow-band white noise excitation and using the improved Morlet wavelet as the continuous wavelet transform base function, the modal parameter identification of this system was simulated. It was found that reducing bandwidth can improve the frequency resolution effect and decouple the dense modals when applying the continuous wavelet transform method to modal parameter identification. However, it also exacerbated the problem of edge effect which can reduce the accuracy for the dense modal recognition. In order to suppress the edge effect, the length of the useful part of the transformation signal was extended by using the SVM technique. Simulation results show that the better recognition accuracy can be obtained with this method. Finally, through identifying the first two modal parameters of a grinder mill, the feasibility and effectiveness of the method were verified.
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