Improving purity of blasting vibration signals using advanced Empirical Mode Decomposition and Wavelet packet technique. (December 2022)

• Record Type: Journal Article
• Authors: Zhou, Zilong; Zhang, Jinkun; Cheng, Ruishan; Rui, Yichao; Cai, Xin; Chen, Lu
• Is Part Of: Applied acoustics. Volume 201(2022)
• Publication Date: 2022-12
• Subjects: CEEMDAN -- Wavelet packet -- Denoising -- Blasting vibration signal; Acoustical engineering -- Periodicals; Periodicals; 620.2
• DOI: 10.1016/j.apacoust.2022.109097
• Languages: English
• ISSNs: 0003-682X

Abstract

Highlights: A new noise-reduction method based on CEEMDAN and Wavelet Packet technique is proposed. The loss of useful information is avoided by retaining the minor components generated during the CEEMDAN decomposition. The proposed method conducts different levels of noise reduction for dominant and secondary components of noisy signals. Numerical waveforms and field records validate the denoising ability of the proposed method. Abstract: The study proposes a denoising method based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) and Wavelet packet threshold denoising (WPTD) to reduce the noise of blasting vibration signals. CEEMDAN is first employed to decompose noisy blasting vibration signals into different intrinsic mode functions (IMFs), i.e., different frequencies of subcomponents. By using correlation coefficients, all of IMFs are automatically categorized as the dominant IMFs with higher portions of vibration components and the secondary IMFs with less vibration contents. Then, with further decomposing two groups of IMFs into different scales of Wavelet packet coefficient series, WPTD based on the fixed-threshold technique and the soft threshold function method is applied to minimize the level of noise in two groups of IMFs. Two groups of denoised IMFs are finally reconstructed as the pure blasting vibration waveform. Numerical waveforms with different types and intensities of noise and measured blasting vibration signals with different main frequency bands are used to verify the accuracy and capability of the proposed method. The numerical and field results show that the proposed method can not only effectively reduce noise components, but also well remain components of blasting vibrations.