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Analysis of Acoustic Wave Frequency Spectrum Characters of Rock Mass under Blasting Damage Based on the HHT Method

机译:基于HHT方法的爆破损伤岩体声波频谱特征分析

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The limitation associated with Fourier transform and wavelet analysis that they often fail to produce satisfactory resolution simultaneously in time and frequency when dealing with nonlinear and nonstationary signals is frequently encountered. Therefore, this paper aims at using the HHT (Hilbert–Huang transform) method, which is built on the basis of the EMD- (empirical mode decomposition-) based wavelet threshold denoising technique and the Hilbert transform, to analyze the blasting vibration signals in a south China lead-zinc mine. The analysis is conducted in terms of three-dimensional Hilbert spectrum, marginal spectrum, and instantaneous energy spectrum. The results indicate that the frequencies of the blasting vibration signals lie mainly within 0∼200 Hz, which consists of more than 90% of the total signal energy. At the onset of the blasting, the vibration frequency tends to be low, with the frequency that is less than 50 Hz being dominant. By using instantaneous energy spectrum, which can reveal the condition of energy release for detonator explosion, the initiation moments of detonators with 7 time-lag levels are accurately identified. This accurate identification demonstrates the superiority of the HHT method in coping with nonlinear and nonstationary signals. Additionally, the HHT method that is characterized by adaptivity, completeness, strong reconfigurability, and high accuracy provides an opportunity for reflecting signals’ change features with regard to time domain, frequency domain, and energy irrespective of the limitation of the Heisenberg uncertainty principle.
机译:经常遇到与傅立叶变换和小波分析相关的限制,即在处理非线性和非平稳信号时,它们通常无法在时间和频率上同时产生令人满意的分辨率。因此,本文旨在基于基于EMD(经验模态分解)小波阈值去噪技术和Hilbert变换建立的HHT(希尔伯特-黄变换)方法来分析爆破振动信号。中国南方的铅锌矿。根据三维希尔伯特光谱,边际光谱和瞬时能谱进行分析。结果表明,爆破振动信号的频率主要在0〜200 Hz范围内,占总信号能量的90%以上。在爆破开始时,振动频率趋于降低,小于50?Hz的频率占主导。通过使用瞬时能谱,可以揭示雷管爆炸释放能量的条件,从而准确识别出具有7个时滞水平的雷管的起爆时刻。这种准确的识别证明了HHT方法在处理非线性和非平稳信号方面的优越性。此外,以适应性,完整性,强大的可重构性和高精度为特征的HHT方法,无论Heisenberg不确定性原理的局限性如何,都为反映信号在时域,频域和能量方面的变化特征提供了机会。

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