2015
DOI: 10.1016/j.jsv.2015.02.038
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Two-dimensional curvature mode shape method based on wavelets and Teager energy for damage detection in plates

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Cited by 77 publications
(54 citation statements)
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“…Especially, the mode shape derivatives have been widely used to localize damage in laminated composite structures. For example, Cao et al [98] explored the synergy between a wavelet transform and a Teager energy operator (TEO) to ameliorate the curvature mode shape, and also used two-dimensional curvature mode shape method to detect damage in plates [99]. Moreno-Garcıa [100] proposed a Ritz based method to improve the computation of mode shape derivatives.…”
Section: Modal Domain Methodsmentioning
confidence: 99%
“…Especially, the mode shape derivatives have been widely used to localize damage in laminated composite structures. For example, Cao et al [98] explored the synergy between a wavelet transform and a Teager energy operator (TEO) to ameliorate the curvature mode shape, and also used two-dimensional curvature mode shape method to detect damage in plates [99]. Moreno-Garcıa [100] proposed a Ritz based method to improve the computation of mode shape derivatives.…”
Section: Modal Domain Methodsmentioning
confidence: 99%
“…The MC 2D method is a non-baseline method, that is, with no requirement for baseline information of structures, such as materials, geometry, and boundary conditions. Besides, the MC 2D possesses the property of isotropy, which means that it is capable of identifying cracks with arbitrary directions in plate-like structures [16]. …”
Section: Dmentioning
confidence: 99%
“…In this figure, it can be seen that in the 2 W  , a slim peak appears at the crack location, but nearly masked by the global trends of the MC 2D , it is unreliable for identifying the crack in the plate. As stated in the introduction, lack of sensitivity to incipient small-scale damage is acknowledged as the first deficiency of the MC 2D method [16]. To simulate an actual normal noisy measurement condition, white Gaussian noise is incorporated to produce the noisy mode shape of 80 dB signal-to-noise (SNR).…”
Section: Dmentioning
confidence: 99%
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