Identification of the real delay time of millisecond blasting based on an improved CEEMDAN method

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Journal of Vibration and Shock ›› 2020, Vol. 39 ›› Issue (20) : 274-280.

ZHANG Liang1,2, LING Tonghua1, CHEN Zenghui3,ZHANG Sheng2, YU Bin1

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Abstract

In view of the problems of modal aliasing and pseudo-component which are easy to occur in the real delay interval identification of millisecond blasting, a method that combined the CEEMDAN algorithm with permutation entropy and singular value decomposition theory was proposed. Taking the measured blasting vibration signal of a slightly weathered granite site as an example, the EMD and the CEMDAN algorithms were applied in the identification of real delay interval in the simulated millisecond blasting signal and the measured millisecond blasting signal, respectively. Then on the basis of CEEMDAN algorithm recognition, the effective IMF component retaining the blasting feature was quantitatively detected by the permutation entropy, the IMF component with entropy greater than 0.5 was processed by singular value decomposition, and the envelope spectrum of the corresponding IMF component was drawn by the Hilbert transform. The results show that the CEEMDAN method can identify the real time of millisecond blasting and can effectively overcome the phenomenon of mode aliasing. The data processed by CEEMDAN still has the problem of false components, the entropy detection and singular value decomposition were used to suppress the noise and pseudo components, making the envelope spectrum of the effective IMF component smoother, thereby further reducing the interference and realizing accurate identification of the real delay time of millisecond blasting.

Key words

EMD / CEEMDAN / permutation entropy / singular value decomposition / delayed time interval

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ZHANG Liang1,2, LING Tonghua1, CHEN Zenghui3,ZHANG Sheng2, YU Bin1. Identification of the real delay time of millisecond blasting based on an improved CEEMDAN method[J]. Journal of Vibration and Shock, 2020, 39(20): 274-280

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