2015
DOI: 10.1155/2015/956793
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A Comparative Study on Optimal Structural Dynamics Using Wavelet Functions

Abstract: Wavelet solution techniques have become the focus of interest among researchers in different disciplines of science and technology. In this paper, implementation of two different wavelet basis functions has been comparatively considered for dynamic analysis of structures. For this aim, computational technique is developed by using free scale of simple Haar wavelet, initially. Later, complex and continuous Chebyshev wavelet basis functions are presented to improve the time history analysis of structures. Free-s… Show more

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Cited by 6 publications
(7 citation statements)
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“…The coefficient matrix of decomposed signal is shown in (3). By comparing several wavelet basis functions such as Morlet, Gaussian, Daubechies 2, Daubechies 5, and Mexicanhat, it is found that Daubechies 5 has the best sensitivity to singularity of signals [12], so Daubechies 5 is employed as wavelet basis function in this study. The measured signal is decomposed 9 times, as more decomposition data will not change obviously.…”
Section: Damage Identification Methodsmentioning
confidence: 97%
“…The coefficient matrix of decomposed signal is shown in (3). By comparing several wavelet basis functions such as Morlet, Gaussian, Daubechies 2, Daubechies 5, and Mexicanhat, it is found that Daubechies 5 has the best sensitivity to singularity of signals [12], so Daubechies 5 is employed as wavelet basis function in this study. The measured signal is decomposed 9 times, as more decomposition data will not change obviously.…”
Section: Damage Identification Methodsmentioning
confidence: 97%
“…To simplify this equation, constant quantities are approximated by Chebyshev wavelets in each step. For this purpose, the unity is being expanded by the Chebyshev wavelet as [10,15,16] 1…”
Section: The Proposed Methods For Operation Of Derivativementioning
confidence: 99%
“…The families of orthogonal Chebyshev polynomials are classified into two main types. The first kind of Chebyshev polynomials ( ) is obtained by a recursive formulation as follows [5,15,16]:…”
Section: The First Kind Of Chebyshev Waveletmentioning
confidence: 99%
“…A certain motor parameter identification model is used, and the residual square sum of the predicted output value and the actual motor output value at the discrete time of the motor model under the parameter identification value serves as the minimization objective function in the identification of motor parameter follows for iterative optimization [1][2][3][4][5]. In recent years, plenty of studies using generalized Kalman filtering, least square method, and genetic algorithm have been performed on the identification of asynchronous motor parameters [6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%
“…Cross-correlation analysis of two periodic signals with the same frequency maintains both the same frequency component and the phase information, as suggested from (5). As the nonfrequency periodic signals are irrelevant, the same frequency of the reference signal and the measured signal can be processed using cross-correlation.…”
Section: Introductionmentioning
confidence: 99%