Noise suppression method of explosion vibration signals based onCEEMD-MPE-IMPROVED WTD

TONG Xiaoling, ZENG Feiyu, JIANG Ke, LIANG Lei

Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (1) : 184-192.

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PDF(3545 KB)
Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (1) : 184-192.

Noise suppression method of explosion vibration signals based onCEEMD-MPE-IMPROVED WTD

  • TONG Xiaoling, ZENG Feiyu, JIANG Ke, LIANG Lei
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Abstract

Fiber optic distributed acoustic sensing (DAS) systems are widely used in the fields of microseismic monitoring and source localization because of their high sensitivity, resistance to electromagnetic interference and distributed long-distance sensing. In this paper, the vibration signal generated by the explosion is collected by the DAS system and the arrival information of the signal is used to locate the explosion source. However, due to the noise interference at the explosion test site, the signal and noise are mixed, and the arrival time information obtained by the arrival time algorithm has a large error, which affects the positioning accuracy, so the signal needs to be denoised. In view of the serious loss of effective information when empirical mode decomposition methods are used for explosion vibration signals, a fusion noise reduction method based on complementary ensemble empirical modal decomposition (CEEMD), multiscale permutation entropy (MPE), and improved wavelet threshold denoising (WTD) is proposed to denoise the signals collected by a distributed acoustic sensing system. It was compared with the EEMD-MPE, CEEMD-MPE, and CEEMD-MPE-WTD methods. The experimental results show that this method can improve the signal-to-noise ratio to 25.95 dB, which is significantly higher than that of the other methods. The denoised signal was used to locate the source, and the error was within 5 m. This method can remove the environmental noise and high-frequency noise of the instrument, while retaining the dominant frequency energy of the explosion vibration signal. The results show that this method is suitable for denoising explosion vibration signals.

Key words

tunnel blasting / vibration signal / denoising process

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TONG Xiaoling, ZENG Feiyu, JIANG Ke, LIANG Lei. Noise suppression method of explosion vibration signals based onCEEMD-MPE-IMPROVED WTD[J]. Journal of Vibration and Shock, 2024, 43(1): 184-192

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