2023
DOI: 10.3390/su151914387
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Microseismic Signal Characteristics of the Coal Failure Process under Weak-Energy and Low-Frequency Disturbance

Xiaoyuan Sun,
Yongliang He,
Tingxu Jin
et al.

Abstract: In deep mining, “critical static stress + slight disturbance” is an important inducing form of coal mine rockburst disasters. In previous studies, the critical static stress has been shown to be consistent with the loading direction of a slight disturbance but cannot reflect all types of rockbursts. In addition, the research that uses microseismic (MS) signals to reflect the overall process and critical stages of coal failure and instability under weak-energy and low-frequency disturbance conditions is immatur… Show more

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Cited by 2 publications
(2 citation statements)
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“…As shown in the figure, the superposition of the incident wave, reflected wave, and transmitted wave basically coincided with each other, indicating that the coal and rock basically reached the stress equilibrium state. Due to the large noise in the original signal, the data in this study were denoised and analysed using the Hilbert-Huang transformation (HHT) method [39]. Due to space limitations, only some data with different variables were analysed as an example.…”
Section: Time History Curve Of Stress Wavementioning
confidence: 99%
See 1 more Smart Citation
“…As shown in the figure, the superposition of the incident wave, reflected wave, and transmitted wave basically coincided with each other, indicating that the coal and rock basically reached the stress equilibrium state. Due to the large noise in the original signal, the data in this study were denoised and analysed using the Hilbert-Huang transformation (HHT) method [39]. Due to space limitations, only some data with different variables were analysed as an example.…”
Section: Time History Curve Of Stress Wavementioning
confidence: 99%
“…The large amount of liquid or solid water in the internal clefts leads to a reduction in energy dissipation within the sample due to the presence of the Stefan effect. Due to the large noise in the original signal, the data in this study were denoised and analysed using the Hilbert-Huang transformation (HHT) method [39]. Due to space limitations, only some data with different variables were analysed as an example.…”
Section: Time History Curve Of Stress Wavementioning
confidence: 99%