De-noising of concrete acoustic emission signals based on CEEMD-wavelet packet adaptive threshold

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Journal of Vibration and Shock ›› 2023, Vol. 42 ›› Issue (3) : 139-149.

YANG Zhizhong1, LIN Junzhi1, WANG Kui1, CHENG Ziyi2, LIU Pan1

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Abstract

In order to obtain purer concrete acoustic emission (AE) signals to monitor the fracture process of concrete structures more accurately, a complete ensemble empirical mode decomposition (CEEMDAN) combined with wavelet packet adaptive threshold method is proposed to reduce the noise of concrete AE signals under cyclic load. Signal-Noise Ratio (SNR) and fast Fourier transform (FFT) analysis are used to verify the feasibility of the method. The experimental results show that the noise reduction effect of concrete AE signal combined with CEEMDAN- wavelet packet adaptive threshold is better, which can effectively retain the characteristic information of concrete AE signal, and provide a new idea for concrete AE signal denoising, which lays a foundation for the subsequent use of AE signal to analyze the propagation and evolution characteristics of micro-cracks in concrete structure.

Key words

Cyclic load / Concrete AE signal / complete ensemble empirical mode decomposition （CEEMDAN） / Wavelet packet adaptive threshold denoising / fast Fourier transform (FFT)

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YANG Zhizhong1, LIN Junzhi1, WANG Kui1, CHENG Ziyi2, LIU Pan1. De-noising of concrete acoustic emission signals based on CEEMD-wavelet packet adaptive threshold[J]. Journal of Vibration and Shock, 2023, 42(3): 139-149

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