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

FU Xiaoqiang; YANG Renshu; LIU Jifeng; ZHANG Huizhi; ZHANG Renwei

doi:10.11883/bzycj-2019-0367

Volume 40 Issue 9

Sep. 2020

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FU Xiaoqiang, YANG Renshu, LIU Jifeng, ZHANG Huizhi, ZHANG Renwei. Baseline drift correction and de-noising method of shaft lining vibration signal in near field of freezing vertical shaft blasting[J]. Explosion And Shock Waves, 2020, 40(9): 095203. doi: 10.11883/bzycj-2019-0367

Citation:

FU Xiaoqiang, YANG Renshu, LIU Jifeng, ZHANG Huizhi, ZHANG Renwei. Baseline drift correction and de-noising method of shaft lining vibration signal in near field of freezing vertical shaft blasting[J]. Explosion And Shock Waves, 2020, 40(9): 095203. doi: 10.11883/bzycj-2019-0367

Citation:

FU Xiaoqiang, YANG Renshu, LIU Jifeng, ZHANG Huizhi, ZHANG Renwei. Baseline drift correction and de-noising method of shaft lining vibration signal in near field of freezing vertical shaft blasting[J]. Explosion And Shock Waves, 2020, 40(9): 095203. doi: 10.11883/bzycj-2019-0367

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

doi: 10.11883/bzycj-2019-0367

FU Xiaoqiang^{1, 2
,},
YANG Renshu³,
LIU Jifeng^{1, 2},
ZHANG Huizhi^{1, 2},
ZHANG Renwei^{1, 2}

1.
School of Civil Engineering, Sanming University, Sanming 365004, Fujian, China
2.
Key Laboratory of Engineering Material & Structure Reinforcement in Fujian Province College, Sanming University, Sanming 365004, Fujian, China
3.
School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing 100083, China

Received Date: 2019-09-23
Rev Recd Date: 2020-02-11

Available Online: 2020-08-25

Publish Date: 2020-09-01

Abstract

Abstract

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.
- freezing vertical shaft,
- blasting vibration,
- baseline drift,
- de-noising analysis,
- cross wavelet transform,
- correlation analysis

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