Baseline drift correction and de-noising method of shaft lining vibration signal in near field of freezing vertical shaft blasting

被引：0
|
作者：
Fu X. [1 ,2 ]
Yang R. [3 ]
Liu J. [1 ,2 ]
Zhang H. [1 ,2 ]
Zhang R. [1 ,2 ]
机构：
[1] School of Civil Engineering, Sanming University, Sanming
[2] Key Laboratory of Engineering Material & Structure Reinforcement in Fujian Province College, Sanming University, Sanming
[3] School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing
来源：
Baozha Yu Chongji/Explosion and Shock Waves | 2020年 / 40卷 / 09期
关键词：
Baseline drift; Blasting vibration; Correlation analysis; Cross wavelet transform; De-noising analysis; Freezing vertical shaft;
D O I：
10.11883/bzycj-2019-0367
中图分类号：
学科分类号：
摘要：
In the process of freezing vertical shaft blasting, the baseline drift and noise in the near area monitoring signal have significant influence on the fine extraction of local characteristics. On the basis of effective acquisition of shaft lining vibration signals in near field of blasting, complementary ensemble empirical mode decomposition (CEEMD) method, baseline estimation and de-noising with sparsity (BEADS) method and hidden Markov model de-noising (HMMD) method and so on are used to solve the problem of baseline drift and random noise elimination in the signal, and the correlation evaluation of correction and noise elimination effect is carried out by cross wavelet transform (CWT). The analysis results show that: the slowly changing baseline component in the signal exists the whole process of each modal component, and it is mainly concentrated in the low frequency component, while the noise is concentrated in the high frequency component. The combined analysis method can deal with low frequency baseline drift and high frequency noise effectively. It is an efficient and relatively amplitude-preserving signal analysis method, and can be used to preprocess of batch blasting vibration signal data. Explosion and Shock Waves
引用
收藏
相关论文
共 22 条
  • [1] YANG R S, FU X Q, YANG L Y, Et al., Research on the shaping control of frozen wall and blasting vibrationmitigation of shaft wall effect in mine vertical shaft, Journal of China Coal Society, 41, 12, pp. 2975-2985, (2016)
  • [2] CHENG H, LIN J, YAO Z S, Et al., Study on the external load of a single layer wall of the vertical shaft in the pore type water-bearing bedrock section in Western China, Chinese Journal of Rock Mechanics and Engineering, 38, 3, pp. 542-550, (2019)
  • [3] MA Q Y, YUAN P, ZHANG J S, Et al., Blasting vibration measurement and analyses of millisecondblasting models for vertical shaft blasting, Journal of Vibration and Shock, 34, 6, pp. 172-176, (2015)
  • [4] ZHANG J, PAN Z X, ZHENG Y X, Et al., Research on vibration signal trend extraction, Acta Electronica Sinica, 45, 1, pp. 22-28, (2017)
  • [5] ZHANG J Y, HE Y Z., Removing baseline drift in vibration signal of autopilot based on morphology, Journal of Beijing University of Aeronautics and Astronautics, 44, 5, pp. 907-913, (2018)
  • [6] LIU Y L, ZHAO W S, LI H K, Et al., Research on removing baseline wandering of pulse wave signal based on morphologicalfilter, Journal of Hefei University of Technology, 34, 4, pp. 525-528, (2011)
  • [7] XIE F J, ZHU S Y., Baseline drift noise correction based on null space pursuit algorithm, Journal of Shenyang University of Technology, 38, 6, pp. 692-696, (2016)
  • [8] ZHANG S, LING T H, CAO F, Et al., Application of removal trend method of pattern adapted continuouswavelet to blast vibration signal analysis, Explosion and Shock Waves, 37, 2, pp. 255-261, (2017)
  • [9] HAN L, LIU D S, XIN C W, Et al., Trend removing methods of vibration signals of deep hole bench blasting in near field, Explosion and Shock Waves, 38, 5, pp. 1006-1012, (2018)
  • [10] WANG Z L, CHEN G H, HUANG Y P., Optimal white noise coefficient in EEMD corrected zero drift signal of blastingacceleration, Explosion and Shock Waves, 39, 8, (2019)
123