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Damage feature recognition based on lamb waves detection

Damage feature recognition based on lamb waves detection
Damage feature recognition based on lamb waves detection
Owing to the superiority of lamb waves in the field of Structural Health Monitoring, the Lamb wave-based damage detection and identification technology are widely used. To determine the degree of damage, two damage feature recognitions are proposed in this paper. One is extracted from the time domain, where the lamb wave signals are processed by Hilbert Transform (HT) with the time-domain analysis. According to the law of signal attenuation, the differential signal envelope amplitude procced by the Hilbert Transform is regarded as a dam-age feature parameter relating to the damage size. The other one is extracted by Fast Fourier transform (FFT) in frequency domain analysis. Two characteristic parameters, the amplitude and probability density in the time domain and the signal roughness parameters in the frequency domain, are defined to characterize the damage size.
1088-1096
Wang, Xiaohui
5db20a2a-6738-434f-86dc-40a0f9df7bbe
Liang, Jinhui
de457d25-9e70-405b-95b1-dfd665bf2305
Zhang, Bin
46bab9b1-ab53-4714-bdea-e40be59ed7c4
Xiong, Yeping
51be8714-186e-4d2f-8e03-f44c428a4a49
Gao, Jun
70583ce0-9c89-40e5-bd44-a93dc9da6e04
Papadrakakis, M.
Papadrakakis, M.
Papadimitriou, C.
Wang, Xiaohui
5db20a2a-6738-434f-86dc-40a0f9df7bbe
Liang, Jinhui
de457d25-9e70-405b-95b1-dfd665bf2305
Zhang, Bin
46bab9b1-ab53-4714-bdea-e40be59ed7c4
Xiong, Yeping
51be8714-186e-4d2f-8e03-f44c428a4a49
Gao, Jun
70583ce0-9c89-40e5-bd44-a93dc9da6e04
Papadrakakis, M.
Papadrakakis, M.
Papadimitriou, C.

Wang, Xiaohui, Liang, Jinhui, Zhang, Bin, Xiong, Yeping and Gao, Jun (2020) Damage feature recognition based on lamb waves detection. Papadrakakis, M., Papadrakakis, M. and Papadimitriou, C. (eds.) In Proceedings of EURODYN 2020. vol. I, pp. 1088-1096 .

Record type: Conference or Workshop Item (Paper)

Abstract

Owing to the superiority of lamb waves in the field of Structural Health Monitoring, the Lamb wave-based damage detection and identification technology are widely used. To determine the degree of damage, two damage feature recognitions are proposed in this paper. One is extracted from the time domain, where the lamb wave signals are processed by Hilbert Transform (HT) with the time-domain analysis. According to the law of signal attenuation, the differential signal envelope amplitude procced by the Hilbert Transform is regarded as a dam-age feature parameter relating to the damage size. The other one is extracted by Fast Fourier transform (FFT) in frequency domain analysis. Two characteristic parameters, the amplitude and probability density in the time domain and the signal roughness parameters in the frequency domain, are defined to characterize the damage size.

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EURODYN2020-Zhang&Xiong
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Published date: 23 November 2020
Venue - Dates: EURODYN 2020: XI International Conference on Structural Dynamics, Streamed, Athens, Greece, 2020-11-23 - 2020-11-26

Identifiers

Local EPrints ID: 446184
URI: http://eprints.soton.ac.uk/id/eprint/446184
PURE UUID: 40fda7b5-75c2-4a1f-b002-095b34158e21
ORCID for Yeping Xiong: ORCID iD orcid.org/0000-0002-0135-8464

Catalogue record

Date deposited: 26 Jan 2021 17:32
Last modified: 17 Mar 2024 02:51

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Contributors

Author: Xiaohui Wang
Author: Jinhui Liang
Author: Bin Zhang
Author: Yeping Xiong ORCID iD
Author: Jun Gao
Editor: M. Papadrakakis
Editor: M. Papadrakakis
Editor: C. Papadimitriou

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