2004
DOI: 10.1016/j.jsv.2003.03.009
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Detecting damage in beams through digital differentiator filters and continuous wavelet transforms

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Cited by 26 publications
(32 citation statements)
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“…The possibility of damage detection by the Haar [10,13,18], Gabor [10,13,15], Mexican Hat [4,18], Symlet [2,11,18], Coiflet [21,18] or Gaussian wavelets [9,7,18] has been discussed. The number of vanishing moments and the possibility of computing of the discrete wavelet transforms of the above wavelets are given in Table 1.…”
Section: Application To Damage Detectionmentioning
confidence: 99%
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“…The possibility of damage detection by the Haar [10,13,18], Gabor [10,13,15], Mexican Hat [4,18], Symlet [2,11,18], Coiflet [21,18] or Gaussian wavelets [9,7,18] has been discussed. The number of vanishing moments and the possibility of computing of the discrete wavelet transforms of the above wavelets are given in Table 1.…”
Section: Application To Damage Detectionmentioning
confidence: 99%
“…However, the use of a Gaussian wavelet guarantees that modulus maxima are never interrupted when the scale decreases. The advantages of the real Gaussian wavelets considered as compact differential filters have been discussed by Messina [7].…”
Section: Application To Damage Detectionmentioning
confidence: 99%
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“…The comparison of differentiation process among Wavelets transform and several other differential operators, to calculate the curvature mode shape and sequent location of damage in beams, was presented by Messina (Messina, 2004). The differential operators integrate a low-pass filter to reduce the unwanted high frequency noise.…”
Section: Methods Based On Wavelets Transformmentioning
confidence: 99%