Noise Reduction of Mine Acoustic Emission and Electromagnetic Radiation Signals Using VMD-PE

Shenglei Zhao; Jinxin Wang; Enyuan Wang; Huihan Yang; Wenxian Yang; Wantong Li

doi:10.1007/978-3-031-49421-5_91

Noise Reduction of Mine Acoustic Emission and Electromagnetic Radiation Signals Using VMD-PE

Shenglei Zhao, Jinxin Wang, Enyuan Wang, Huihan Yang, Wenxian Yang, Wantong Li

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The complex conditions of underground coal mine, Acoustic Emission (AE) and Electromagnetic Radiation (EMR) signals collected contain a lot of interference and noise, which is not conducive to follow-up monitoring and early warning of coal and rock dynamic disasters. We propose a denoising method of AE and EMR combined with Variational Mode Decomposition (VMD) and Permutation Entropy (PE). Firstly, the signals collected from underground coal mine are decomposed into modal components of different frequencies using VMD. Secondly, the entropy value of each modal component is calculated and arranged, and the threshold value is set to remove the modes corresponding to high entropy. Finally, the remaining modes are reconstructed to output the denoised signal. The processing results of the AE and EMR actual monitoring signals Shiping No. 1 Coal Mine also illustrated its good denoising ability to signals with different characteristics.

Original language	English
Title of host publication	Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 2
Editors	Andrew D. Ball, Huajiang Ouyang, Jyoti K. Sinha, Zuolu Wang
Publisher	Springer, Cham
Pages	1115-1124
Number of pages	10
Volume	2
Edition	1st
ISBN (Electronic)	9783031494215
ISBN (Print)	9783031494208, 9783031494239
DOIs	https://doi.org/10.1007/978-3-031-49421-5_91
Publication status	Published - 29 May 2024
Externally published	Yes
Event	The UNIfied Conference of DAMAS, InCoME and TEPEN Conferences - Huddersfield, United Kingdom, Huddersfield, United Kingdom Duration: 29 Aug 2023 → 1 Sep 2023 https://unified2023.org/

Publication series

Name	Mechanisms and Machine Science
Publisher	Springer Cham
Volume	152 MMS
ISSN (Print)	2211-0984
ISSN (Electronic)	2211-0992

Conference

Conference	The UNIfied Conference of DAMAS, InCoME and TEPEN Conferences
Abbreviated title	UNIfied 2023
Country/Territory	United Kingdom
City	Huddersfield
Period	29/08/23 → 1/09/23
Internet address	https://unified2023.org/

Access to Document

10.1007/978-3-031-49421-5_91Licence: Unspecified

Cite this

Zhao, S., Wang, J., Wang, E., Yang, H., Yang, W., & Li, W. (2024). Noise Reduction of Mine Acoustic Emission and Electromagnetic Radiation Signals Using VMD-PE. In A. D. Ball, H. Ouyang, J. K. Sinha, & Z. Wang (Eds.), Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 2 (1st ed., Vol. 2, pp. 1115-1124). (Mechanisms and Machine Science; Vol. 152 MMS). Springer, Cham. https://doi.org/10.1007/978-3-031-49421-5_91

Zhao, Shenglei ; Wang, Jinxin ; Wang, Enyuan et al. / Noise Reduction of Mine Acoustic Emission and Electromagnetic Radiation Signals Using VMD-PE. Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 2. editor / Andrew D. Ball ; Huajiang Ouyang ; Jyoti K. Sinha ; Zuolu Wang. Vol. 2 1st. ed. Springer, Cham, 2024. pp. 1115-1124 (Mechanisms and Machine Science).

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title = "Noise Reduction of Mine Acoustic Emission and Electromagnetic Radiation Signals Using VMD-PE",

abstract = "The complex conditions of underground coal mine, Acoustic Emission (AE) and Electromagnetic Radiation (EMR) signals collected contain a lot of interference and noise, which is not conducive to follow-up monitoring and early warning of coal and rock dynamic disasters. We propose a denoising method of AE and EMR combined with Variational Mode Decomposition (VMD) and Permutation Entropy (PE). Firstly, the signals collected from underground coal mine are decomposed into modal components of different frequencies using VMD. Secondly, the entropy value of each modal component is calculated and arranged, and the threshold value is set to remove the modes corresponding to high entropy. Finally, the remaining modes are reconstructed to output the denoised signal. The processing results of the AE and EMR actual monitoring signals Shiping No. 1 Coal Mine also illustrated its good denoising ability to signals with different characteristics.",

keywords = "Acoustic emission, Electromagnetic radiation, Noise reduction, Permutation entropy, Variational mode decomposition",

author = "Shenglei Zhao and Jinxin Wang and Enyuan Wang and Huihan Yang and Wenxian Yang and Wantong Li",

note = "Funding Information: This work was supported by the Natural Science Foundation of Jiangsu Province, China (Grant No.: BK20221117) and the Basic Research Project of Xuzhou City, China (Grant No.: KC22001). Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; The UNIfied Conference of DAMAS, InCoME and TEPEN Conferences, UNIfied 2023 ; Conference date: 29-08-2023 Through 01-09-2023",

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editor = "Ball, {Andrew D.} and Huajiang Ouyang and Sinha, {Jyoti K.} and Zuolu Wang",

booktitle = "Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 2",

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Zhao, S, Wang, J, Wang, E, Yang, H, Yang, W & Li, W 2024, Noise Reduction of Mine Acoustic Emission and Electromagnetic Radiation Signals Using VMD-PE. in AD Ball, H Ouyang, JK Sinha & Z Wang (eds), Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 2. 1st edn, vol. 2, Mechanisms and Machine Science, vol. 152 MMS, Springer, Cham, pp. 1115-1124, The UNIfied Conference of DAMAS, InCoME and TEPEN Conferences, Huddersfield, United Kingdom, 29/08/23. https://doi.org/10.1007/978-3-031-49421-5_91

Noise Reduction of Mine Acoustic Emission and Electromagnetic Radiation Signals Using VMD-PE. / Zhao, Shenglei; Wang, Jinxin; Wang, Enyuan et al.

Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 2. ed. / Andrew D. Ball; Huajiang Ouyang; Jyoti K. Sinha; Zuolu Wang. Vol. 2 1st. ed. Springer, Cham, 2024. p. 1115-1124 (Mechanisms and Machine Science; Vol. 152 MMS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Noise Reduction of Mine Acoustic Emission and Electromagnetic Radiation Signals Using VMD-PE

AU - Zhao, Shenglei

AU - Wang, Jinxin

AU - Wang, Enyuan

AU - Yang, Huihan

AU - Yang, Wenxian

AU - Li, Wantong

N1 - Funding Information: This work was supported by the Natural Science Foundation of Jiangsu Province, China (Grant No.: BK20221117) and the Basic Research Project of Xuzhou City, China (Grant No.: KC22001). Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024/5/29

Y1 - 2024/5/29

N2 - The complex conditions of underground coal mine, Acoustic Emission (AE) and Electromagnetic Radiation (EMR) signals collected contain a lot of interference and noise, which is not conducive to follow-up monitoring and early warning of coal and rock dynamic disasters. We propose a denoising method of AE and EMR combined with Variational Mode Decomposition (VMD) and Permutation Entropy (PE). Firstly, the signals collected from underground coal mine are decomposed into modal components of different frequencies using VMD. Secondly, the entropy value of each modal component is calculated and arranged, and the threshold value is set to remove the modes corresponding to high entropy. Finally, the remaining modes are reconstructed to output the denoised signal. The processing results of the AE and EMR actual monitoring signals Shiping No. 1 Coal Mine also illustrated its good denoising ability to signals with different characteristics.

AB - The complex conditions of underground coal mine, Acoustic Emission (AE) and Electromagnetic Radiation (EMR) signals collected contain a lot of interference and noise, which is not conducive to follow-up monitoring and early warning of coal and rock dynamic disasters. We propose a denoising method of AE and EMR combined with Variational Mode Decomposition (VMD) and Permutation Entropy (PE). Firstly, the signals collected from underground coal mine are decomposed into modal components of different frequencies using VMD. Secondly, the entropy value of each modal component is calculated and arranged, and the threshold value is set to remove the modes corresponding to high entropy. Finally, the remaining modes are reconstructed to output the denoised signal. The processing results of the AE and EMR actual monitoring signals Shiping No. 1 Coal Mine also illustrated its good denoising ability to signals with different characteristics.

KW - Acoustic emission

KW - Electromagnetic radiation

KW - Noise reduction

KW - Permutation entropy

KW - Variational mode decomposition

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UR - https://link.springer.com/book/10.1007/978-3-031-49421-5

U2 - 10.1007/978-3-031-49421-5_91

DO - 10.1007/978-3-031-49421-5_91

M3 - Conference contribution

AN - SCOPUS:85195576148

SN - 9783031494208

SN - 9783031494239

VL - 2

T3 - Mechanisms and Machine Science

SP - 1115

EP - 1124

BT - Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 2

A2 - Ball, Andrew D.

A2 - Ouyang, Huajiang

A2 - Sinha, Jyoti K.

A2 - Wang, Zuolu

PB - Springer, Cham

T2 - The UNIfied Conference of DAMAS, InCoME and TEPEN Conferences

Y2 - 29 August 2023 through 1 September 2023

ER -

Zhao S, Wang J, Wang E, Yang H, Yang W, Li W. Noise Reduction of Mine Acoustic Emission and Electromagnetic Radiation Signals Using VMD-PE. In Ball AD, Ouyang H, Sinha JK, Wang Z, editors, Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 2. 1st ed. Vol. 2. Springer, Cham. 2024. p. 1115-1124. (Mechanisms and Machine Science). doi: 10.1007/978-3-031-49421-5_91

Noise Reduction of Mine Acoustic Emission and Electromagnetic Radiation Signals Using VMD-PE

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