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2023 | OriginalPaper | Chapter

15. Structural Damage Identification for Plate-Like Structures Using Two-Dimensional Teager Energy Operator-Wavelet Transform

Authors : Wei Zhou, Yongfeng Xu, Jueseok Kim

Published in: Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6

Publisher: Springer International Publishing

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Abstract

Waveforms of propagating flexural waves can reveal plentiful information about anomalies caused by damage-wave interactions, and such anomalies can be used for damage identification. However, they can be masked by the interference of measurement noise and may be able to indicate only a fraction of the extent of the damage. In this paper, an effective noise-robust damage identification method is proposed. It extracts local anomalies based on two-dimensional curvature propagating flexural waves (2D-CPFW). To alleviate adverse effects of measurement noise on calculating 2D-CPFW, the continuous wavelet transform with a second-order Gaussian function is used as a differentiation operator. Three two-dimensional quantities, including the curvature of the 2D-CPFW, Teager energy of 2D-CPFW, and Teager energy of the curvature of the 2D-CPFW, are defined and they can intensify local anomalies caused by the existence of damage. To obtain a complete identification of damage extent based on the anomalies, a two-dimensional accumulative damage index is defined. A convergence index is introduced to determine the number of waveforms to be included when calculating the damage index. Effectiveness and noise-robustness of the proposed method are investigated in a numerical example of a damaged plate. Results verify that the proposed method is effective and noise-robust in identifying the location and extent of damage.

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Metadata
Title
Structural Damage Identification for Plate-Like Structures Using Two-Dimensional Teager Energy Operator-Wavelet Transform
Authors
Wei Zhou
Yongfeng Xu
Jueseok Kim
Copyright Year
2023
DOI
https://doi.org/10.1007/978-3-031-04098-6_15

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