A Damage Localization Method With Multimodal Lamb Wave Based on Adaptive Polynomial Chirplet Transform
A Damage Localization Method With Multimodal Lamb Wave Based on Adaptive Polynomial Chirplet Transform
复制标题
基于自适应多项式Chirplet变换的多模态兰姆波损伤定位方法
DOI:
10.1109/tim.2020.2993342
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发表时间:
2020-05
影响因子:
5.6
通讯作者:
Wei Zhao
中科院分区:
文献类型:
--
作者:
Zhe Wang;Songling Huang;Shen Wang;Qing Wang;Wei Zhao
Ultrasonic Lamb wave testing allows health monitoring for plate structures and has been extensively applied in the modern industry. To obtain the location and further form the damage imaging, the time of flight (TOF) is a pivotal parameter. However, the dispersive and multimodal nature of the Lamb wave obstructs the accurate measurement of TOF. The objective of this article is to develop efficient techniques to separate multimodal Lamb wave signals and accomplish accurate damage localization. The narrowband Lamb wave is generated by the excitation signal with a center frequency of 150 kHz. The fundamental symmetric and antisymmetric modes are exploited. The adaptive polynomial chirplet transform (CT) is proposed to decompose the Lamb wave signals and identify the modes. Then, the instantaneous frequency characteristics are utilized to extract time information. Thus, the TOF is obtained and damage location can be calculated. The reconstruction error is defined to quantitate the difference between the reconstructed signal and the received signal. The obtained reconstruction errors from the simulation and experiment are 0.1631 and 0.2875, respectively. The varied defect location is adopted to obtain the TOF estimation. The results show that the proposed method outperforms the CT and cross correlation, especially for the longer propagation distances where the dispersion effect is distinct. For experiments considering the defect and boundary reflection, the localization errors of the collinear defect are 2.51% and 3.04% for the two Lamb wave modes. In comparison with smoothed-pseudo-Wigner–Ville distribution and CT, the proposed method owns superior performance on mode identification and location accuracy.
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影响因子:
4.2
作者:
Liang Zeng;Ming Zhao;Jing Lin;Wentao Wu
通讯作者:
Wentao Wu
DOI:
10.4028/www.scientific.net/kem.167-168.152
发表时间:
1999-01-01
期刊:
DAMAS 99: DAMAGE ASSESSMENT OF STRUCTURES
影响因子:
--
作者:
Wilcox, PD;Dalton, RP;Cawley, P
通讯作者:
Cawley, P
DOI:
10.1109/tim.2014.2299528
发表时间:
2014-07-01
影响因子:
5.6
作者:
Hosseinabadi, Hossein Zamani;Nazari, Behzad;Sadri, Amir Reza
通讯作者:
Sadri, Amir Reza
DOI:
10.1177/10453890122145348
发表时间:
1999-06
影响因子:
2.7
作者:
P. Wilcox;M. Lowe;P. Cawley
通讯作者:
P. Wilcox;M. Lowe;P. Cawley
DOI:
10.1109/imtc.1999.776987
发表时间:
1999-05
期刊:
IMTC/99. Proceedings of the 16th IEEE Instrumentation and Measurement Technology Conference (Cat. No.99CH36309)
影响因子:
--
作者:
S. Legendre;D. Massicotte;J. Goyette;T. Bose
通讯作者:
S. Legendre;D. Massicotte;J. Goyette;T. Bose