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Study of Frequency Bands vs Energy Distribution of Blast Vibration Signals Based on EEMD and Hilbert Transform
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Yanmin REN1, Yunjie LONG1, Hongjing TANG1, Shengxin HOU1, Xiang ZHANG2, Qiyue LI2
Mining and Metallurgical Engineering | 2023, 43(2) : 35 - 39
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Mining and Metallurgical Engineering | 2023, 43(2): 35-39
• MINING •
Study of Frequency Bands vs Energy Distribution of Blast Vibration Signals Based on EEMD and Hilbert Transform
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Yanmin REN1, Yunjie LONG1, Hongjing TANG1, Shengxin HOU1, Xiang ZHANG2, Qiyue LI2
Affiliations
  • 1.Tibet Cgxinlian Blasting Engineering Co Ltd, Lhasa 850000, Tibet, China
  • 2.School of Resources and Safety Engineering, Central South University, Changsha 410083, Hunan, China
Published: 2023-04-01 doi: 10.3969/j.issn.0253-6099.2023.02.008
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In order to study the energy distribution of blast wave propagation, the EEMD and Hilbert transform techniques were adopted to analyze the blast vibration signals at the same measuring point in different directions, on the same line with different distance away from explosion center, as well as with the same distance away from explosion center but with different maximum charges. It is found that vertical signal energy is mainly concentrated in the midbands, while the radial signal energy in horizontal direction is distributed in both the mid- and low-bands, and tangential signal energy in the horizontal direction is mainly concentrated in the high-bands. Under the same monitoring, a greater attenuation is found in high frequency energy and the proportion of signal energy distribution shifts from high-bands to low-bands as the distance is farther away from the explosion center. However, with the same distance away from the explosion center, increasing the maximum charge in a single stage can lead to higher proportion of low frequency energy, and significantly increased charge can bring more obvious effect.

blast vibration  /  EEMD-Hilbert  /  blast vibration signal  /  time-frequency analysis  /  energy distribution
Yanmin REN, Yunjie LONG, Hongjing TANG, Shengxin HOU, Xiang ZHANG, Qiyue LI. Study of Frequency Bands vs Energy Distribution of Blast Vibration Signals Based on EEMD and Hilbert Transform[J]. Mining and Metallurgical Engineering, 2023 , 43 (2) : 35 -39 . DOI: 10.3969/j.issn.0253-6099.2023.02.008
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Article Info
doi: 10.3969/j.issn.0253-6099.2023.02.008
  • Receive Date：2022-11-23
  • Online Date：2026-03-05
  • Published：2023-04-01
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  • Received：2022-11-23
Affiliations
    1.Tibet Cgxinlian Blasting Engineering Co Ltd, Lhasa 850000, Tibet, China
    2.School of Resources and Safety Engineering, Central South University, Changsha 410083, Hunan, China
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https://castjournals.cast.org.cn/joweb/kygczz/EN/10.3969/j.issn.0253-6099.2023.02.008
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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