Multiple damage detection using sparse blind source separation in composite structures

Shaopeng Dong; Mei Yuan; Fukai Shang; Yuxuan Liang; Zongxia Jiao

doi:10.1109/FPM.2015.7337319

Multiple damage detection using sparse blind source separation in composite structures

Shaopeng Dong
, Mei Yuan
, Fukai Shang
, Yuxuan Liang
, Zongxia Jiao

自动化科学与电气工程学院

Beihang University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

2 引用（Scopus）

摘要

Damage detection is a primary concern in composite structures. Multiple damage mechanisms have been identified for the aircraft composite structures. When the different damage mechanisms occur at numerous locations, the damage signals from acoustic emission (AE) sensors are mixed. This paper proposes an improved sparse component analysis (SCA) method to separate the mixing AE signals. Firstly, a bandpass filter is designed to remove the vibration interference, and pre-whitening is used to achieve the decorrelation. Secondly, implement SCA to reconstruct the source signals. Finally, the wavelet denoising (WD) is executed to the recovery signals after SCA. The simulation results show that the improved SCA can separate the composite structure damage AE simulation signals.

源语言	英语
主期刊名	Proceedings of 2015 International Conference on Fluid Power and Mechatronics, FPM 2015
出版商	Institute of Electrical and Electronics Engineers Inc.
页	1285-1290
页数	6
ISBN（电子版）	9781479987702
DOI	https://doi.org/10.1109/FPM.2015.7337319
出版状态	已出版 - 24 11月 2015
活动	7th International Conference on Fluid Power and Mechatronics, FPM 2015 - Harbin, 中国期限: 5 8月 2015 → 7 8月 2015

丛书

姓名	Proceedings of 2015 International Conference on Fluid Power and Mechatronics, FPM 2015

会议

会议	7th International Conference on Fluid Power and Mechatronics, FPM 2015
国家/地区	中国
市	Harbin
时期	5/08/15 → 7/08/15

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10.1109/FPM.2015.7337319

其它文件与链接

链接到 Scopus 的出版物

引用此

Dong, S., Yuan, M., Shang, F., Liang, Y., & Jiao, Z. (2015). Multiple damage detection using sparse blind source separation in composite structures. 在 Proceedings of 2015 International Conference on Fluid Power and Mechatronics, FPM 2015 (页码 1285-1290). 期刊论文 7337319 (Proceedings of 2015 International Conference on Fluid Power and Mechatronics, FPM 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FPM.2015.7337319

Dong, Shaopeng ; Yuan, Mei ; Shang, Fukai 等. / Multiple damage detection using sparse blind source separation in composite structures. Proceedings of 2015 International Conference on Fluid Power and Mechatronics, FPM 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 页码 1285-1290 (Proceedings of 2015 International Conference on Fluid Power and Mechatronics, FPM 2015).

@inproceedings{092996b5ddc04927982ccd4955a28c92,

title = "Multiple damage detection using sparse blind source separation in composite structures",

abstract = "Damage detection is a primary concern in composite structures. Multiple damage mechanisms have been identified for the aircraft composite structures. When the different damage mechanisms occur at numerous locations, the damage signals from acoustic emission (AE) sensors are mixed. This paper proposes an improved sparse component analysis (SCA) method to separate the mixing AE signals. Firstly, a bandpass filter is designed to remove the vibration interference, and pre-whitening is used to achieve the decorrelation. Secondly, implement SCA to reconstruct the source signals. Finally, the wavelet denoising (WD) is executed to the recovery signals after SCA. The simulation results show that the improved SCA can separate the composite structure damage AE simulation signals.",

keywords = "acoustic emission, blind source separation, composite, sparse component analysis",

author = "Shaopeng Dong and Mei Yuan and Fukai Shang and Yuxuan Liang and Zongxia Jiao",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 7th International Conference on Fluid Power and Mechatronics, FPM 2015 ; Conference date: 05-08-2015 Through 07-08-2015",

year = "2015",

month = nov,

day = "24",

doi = "10.1109/FPM.2015.7337319",

language = "英语",

series = "Proceedings of 2015 International Conference on Fluid Power and Mechatronics, FPM 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1285--1290",

booktitle = "Proceedings of 2015 International Conference on Fluid Power and Mechatronics, FPM 2015",

address = "美国",

}

Dong, S , Yuan, M, Shang, F, Liang, Y & Jiao, Z 2015, Multiple damage detection using sparse blind source separation in composite structures. 在 Proceedings of 2015 International Conference on Fluid Power and Mechatronics, FPM 2015., 7337319, Proceedings of 2015 International Conference on Fluid Power and Mechatronics, FPM 2015, Institute of Electrical and Electronics Engineers Inc., 页码 1285-1290, 7th International Conference on Fluid Power and Mechatronics, FPM 2015, Harbin, 中国, 5/08/15. https://doi.org/10.1109/FPM.2015.7337319

Multiple damage detection using sparse blind source separation in composite structures. / Dong, Shaopeng ; Yuan, Mei; Shang, Fukai 等.
Proceedings of 2015 International Conference on Fluid Power and Mechatronics, FPM 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 页码 1285-1290 7337319 (Proceedings of 2015 International Conference on Fluid Power and Mechatronics, FPM 2015).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Multiple damage detection using sparse blind source separation in composite structures

AU - Dong, Shaopeng

AU - Yuan, Mei

AU - Shang, Fukai

AU - Liang, Yuxuan

AU - Jiao, Zongxia

PY - 2015/11/24

Y1 - 2015/11/24

N2 - Damage detection is a primary concern in composite structures. Multiple damage mechanisms have been identified for the aircraft composite structures. When the different damage mechanisms occur at numerous locations, the damage signals from acoustic emission (AE) sensors are mixed. This paper proposes an improved sparse component analysis (SCA) method to separate the mixing AE signals. Firstly, a bandpass filter is designed to remove the vibration interference, and pre-whitening is used to achieve the decorrelation. Secondly, implement SCA to reconstruct the source signals. Finally, the wavelet denoising (WD) is executed to the recovery signals after SCA. The simulation results show that the improved SCA can separate the composite structure damage AE simulation signals.

AB - Damage detection is a primary concern in composite structures. Multiple damage mechanisms have been identified for the aircraft composite structures. When the different damage mechanisms occur at numerous locations, the damage signals from acoustic emission (AE) sensors are mixed. This paper proposes an improved sparse component analysis (SCA) method to separate the mixing AE signals. Firstly, a bandpass filter is designed to remove the vibration interference, and pre-whitening is used to achieve the decorrelation. Secondly, implement SCA to reconstruct the source signals. Finally, the wavelet denoising (WD) is executed to the recovery signals after SCA. The simulation results show that the improved SCA can separate the composite structure damage AE simulation signals.

KW - acoustic emission

KW - blind source separation

KW - composite

KW - sparse component analysis

UR - https://www.scopus.com/pages/publications/84962491892

U2 - 10.1109/FPM.2015.7337319

DO - 10.1109/FPM.2015.7337319

M3 - 会议稿件

AN - SCOPUS:84962491892

T3 - Proceedings of 2015 International Conference on Fluid Power and Mechatronics, FPM 2015

SP - 1285

EP - 1290

BT - Proceedings of 2015 International Conference on Fluid Power and Mechatronics, FPM 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th International Conference on Fluid Power and Mechatronics, FPM 2015

Y2 - 5 August 2015 through 7 August 2015

ER -

Dong S , Yuan M, Shang F, Liang Y, Jiao Z. Multiple damage detection using sparse blind source separation in composite structures. 在 Proceedings of 2015 International Conference on Fluid Power and Mechatronics, FPM 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 页码 1285-1290. 7337319. (Proceedings of 2015 International Conference on Fluid Power and Mechatronics, FPM 2015). doi: 10.1109/FPM.2015.7337319

Multiple damage detection using sparse blind source separation in composite structures

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