1998
DOI: 10.1016/s0020-7225(97)00082-7
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Wavelet and chaos analysis of flow induced vibration of a single cylinder in cross-flow

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Cited by 12 publications
(5 citation statements)
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“…1 for the power spectrum of a sinusoid consisting of two distinctive harmonic spikes. By having smooth power spectra, it can be suggested that the errors of orders 9 and 10 are not periodic, but tend to be random or chaotic or in a transition to chaotic [20][21][22][23][24]. It is also clear that even though these orders yield small fitting errors, usually, they are unpredictably large which explains their chaotic and random nature.…”
Section: Chemical Compositionmentioning
confidence: 99%
“…1 for the power spectrum of a sinusoid consisting of two distinctive harmonic spikes. By having smooth power spectra, it can be suggested that the errors of orders 9 and 10 are not periodic, but tend to be random or chaotic or in a transition to chaotic [20][21][22][23][24]. It is also clear that even though these orders yield small fitting errors, usually, they are unpredictably large which explains their chaotic and random nature.…”
Section: Chemical Compositionmentioning
confidence: 99%
“…One major advantage of the WPS technique over the Fourier power spectrum technique is that the signal energy distribution is shown in 3-D graphs, which do not suppress the phase information as is the case of the power spectrum, i.e., the phase information is included as a function of time. Jubran et al 24 used the Gaussian WT to study the behavior of flow-induced vibration and cross-flow in a cylinder. They compared the performance of a number of different mother wavelets including the Morlet wavelet, Daubechies wavelets, and the Gaussian wavelet, and then concluded that the Gaussian wavelet was the most suitable wavelet for this particular application.…”
Section: ͑5͒mentioning
confidence: 99%
“…Kim and Cho (2004) applied a mode -frequency analysis, a subroutine of the Structural Routine in ANSYS, to examine the natural frequency and relative amplitude of the tube. Jubran et al (1998) applied the newlydeveloped joint time-frequency analysis techniques (JTFA), and in particular the modulated Gaussian wavelet, to identify the characteristics of the FIV of an elastically mounted single cylinder subjected to cross-flow. Ajith et al (2008) analyzed the FIV of a square-section cylinder under interference conditions using a data-mining tool called 'decision tree'.…”
Section: Introductionmentioning
confidence: 99%