Damage localization for beams based on the wavelet correlation operator |
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Authors: | ZhiBo Yang XueFeng Chen Maciej Radzienski Pawel Kudela Wieslaw Ostachowicz Yong Xie |
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Affiliation: | 1.School of Mechanical Engineering,Xi’an Jiaotong University,Xi’an,China;2.Zhejiang Provincial Key Laboratory of Laser Processing Robot/Key Laboratory of Laser Precision Processing & Detection,Wenzhou,China;3.Institute of Fluid Flow Machinery,Polish Academy of Science,Gdansk,Poland;4.Faculty of Automotive and Construction Machinery,Warsaw University of Technology,Warsaw,Poland;5.School of Aerospace,Xi’an Jiaotong University,Xi’an,China |
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Abstract: | The continuous wavelet transform (CWT) is one of the crucial damage identification tools in the vibration-based damage assessment. Because of the vanishing moment property, the CWT method is capable of featuring damage singularity in the higher scales, and separating the global trends and noise progressively. In the classical investigations about this issue, the localization property of the CWT is usually deemed as the most critical point. The abundant information provided by the scale-domain information and the corresponding effectiveness are, however, neglected to some extent. Ultimately, this neglect restricts the sufficient application of the CWT method in damage localization, especially in noisy conditions. In order to address this problem, the wavelet correlation operator is introduced into the CWT damage detection method as a post-processing. By means of the correlations among different scales, the proposed operator suppresses noise, cancels global trends, and intensifies the damage features for various mode shapes. The proposed method is demonstrated numerically with emphasis on characterizing damage in noisy environments, where the wavelet scale Teager-Kaiser energy operator is taken as the benchmark method for comparison. Experimental validations are conducted based on the benchmark data from composite beam specimens measured by a scanning laser vibrometer. Numerical and experimental validations/comparisons present that the introduction of wavelet correlation operator is effective for damage localization in noisy conditions. |
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