An compound de-noising and modal identification method based on CEEMD and Wavelet Packet Threshold for flood discharge structure

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Journal of Vibration and Shock ›› 2017, Vol. 36 ›› Issue (17) : 1-9.

Hu Jian-chao， Lian Ji-jian， Ma Bin， Dong Xiao-feng

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Abstract

The vibration signal of flood discharge under water load excitation using for modal identification is often affected by noise. EEMD algorithm has the problem that caused by adding white noise, which leads to the non-standard IMF that causes the modal split and the incompletely reconstructed original signal on account of the residual noise. While Complete Ensemble Empirical Mode Decomposition (CEEMD), by adding the specific white noise to each stage of signal decomposition, uses the first component and adds the average to get the unique residual, which let the IMF overcome the drawbacks of EEMD. According to the record of the experiment which de-noised the vibration signal from Xiangjiaba hydroelastic model, the effectiveness of method based on CEEMD and wavelet packet transform has been proved. In order to improve the precision of modal identification with vibration response mixed noise, this paper, based on the data correlation technology, uses the Markov parameter structure correlation matrix R and SVD the Hankel matrix restricted by R to get minimum system realization, which is also called by Eigensystem Realization Algorithm With Data Correlation (ERA/DC). Finally, the filtering and mode identification method mentioned in the paper is applied to the vibration response analysis of Jinping arch dam, which obtains the good application effect.

Key words

flood discharge structure / noise reduction / CEEMD / Wavelet packet / Modal identification / ERA/DC

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Hu Jian-chao， Lian Ji-jian， Ma Bin， Dong Xiao-feng. An compound de-noising and modal identification method based on CEEMD and Wavelet Packet Threshold for flood discharge structure[J]. Journal of Vibration and Shock, 2017, 36(17): 1-9

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