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Elimination Method of Power Frequency Interference of Micro-Seismic Wave Based on STD-RLS Adaptive Algorithm
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Baolin LIU1, Mingwei ZHANG1, 2, *, Guotao YUAN2, Zhuangcai TIAN1, 2
Journal of Geodesy and Geodynamics | 2025, 45(9) : 954 - 963
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Journal of Geodesy and Geodynamics | 2025, 45(9): 954-963
Elimination Method of Power Frequency Interference of Micro-Seismic Wave Based on STD-RLS Adaptive Algorithm
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Baolin LIU1, Mingwei ZHANG1, 2, *, Guotao YUAN2, Zhuangcai TIAN1, 2
Affiliations
  • 1 School of Mechanics and Civil Engineering, China University of Mining and Technology, 1 Daxue Road, Xuzhou 221116, China
  • 2 State Key Laboratory of Deep Geotechnical Mechanics and Underground Engineering, China University of Mining and Technology, 1 Daxue Road, Xuzhou 221116, China
  • LIU Baolin, postgraduate, majors in microseismic monitoring and data analysis, E-mail:

About Author:

LIU Baolin, postgraduate, majors in microseismic monitoring and data analysis, E-mail:

Published: 2025-09-15 doi: 10.14075/j.jgg.2024.09.425
Outline
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An adaptive method for removing power frequency interference is proposed by combining seasonal trend dispersion(STD) decomposition with recursive least squares(RLS). This method utilizes STD decomposition to extract the seasonal component containing power frequency interference from microseismic waves, which serves as the reference signal for RLS, and dynamically updates the algorithm coefficients to make the calculated signal approach the power frequency interference signal. Simulation experiments were designed by superimposing 1 set of microseismic waves without power frequency interference with 3 different types of power frequency interference. The finite impulse response(FIR) filtering, wavelet threshold(WT) filtering, and the method presented in this paper were used for processing. The results indicate that the method in this paper can effectively remove power frequency interference while fully preserving the key time-frequency characteristics of microseismic waves. Furthermore, the application of this method to the microseismic monitoring data processing of Taoyuan coal mine has verified its feasibility and reliability in engineering applications.

microseismic wave  /  power frequency interference  /  seasonal trend discrete decomposition  /  recursive least squares method  /  adaptive algorithm
刘宝霖, 张明伟, 袁国涛, 田壮才. 基于STD-RLS自适应算法的微震波工频干扰消除方法研究. 大地测量与地球动力学, 2025 , 45 (9) : 954 -963 . DOI: 10.14075/j.jgg.2024.09.425
Baolin LIU, Mingwei ZHANG, Guotao YUAN, Zhuangcai TIAN. Elimination Method of Power Frequency Interference of Micro-Seismic Wave Based on STD-RLS Adaptive Algorithm[J]. Journal of Geodesy and Geodynamics, 2025 , 45 (9) : 954 -963 . DOI: 10.14075/j.jgg.2024.09.425
  • Original Technology Source Key Projects of Huaibei Mining Group(淮矿计合字2024第217号)
Year 2025 volume 45 Issue 9
33
13
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Article Info
doi: 10.14075/j.jgg.2024.09.425
  • Receive Date:2024-09-06
  • Online Date:2026-10-29
  • Published:2025-09-15
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  • Received:2024-09-06
Funding
Original Technology Source Key Projects of Huaibei Mining Group(淮矿计合字2024第217号)
Affiliations
    1 School of Mechanics and Civil Engineering, China University of Mining and Technology, 1 Daxue Road, Xuzhou 221116, China
    2 State Key Laboratory of Deep Geotechnical Mechanics and Underground Engineering, China University of Mining and Technology, 1 Daxue Road, Xuzhou 221116, China
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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
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
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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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