2011
DOI: 10.1111/j.1467-8667.2011.00734.x
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Crack Detection from the Slope of the Mode Shape Using Complex Continuous Wavelet Transform

Abstract: A new method for cracks detection in beams is proposed by using the slope of the mode shape to detect cracks, and by introducing the angle coefficients of complex continuous wavelet transform. This study is aimed at detecting the location of the nonpropagating transverse crack. A series of beams with cracks that are simulated by rotational springs with equivalent stiffness are analyzed. The mode shape and the slope of this lumped crack model are calculated. Through complex continuous wavelet transform of the s… Show more

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Cited by 92 publications
(50 citation statements)
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“…In recent years, Adeli and associates have advanced the idea that judicious combination of signal processing techniques such as wavelet transforms [37,[69][70][71][72][73], nonlinear dynamics, and chaos theory [74][75][76][77][78], and pattern recognition and classification techniques such as neural networks [79][80][81][82][83][84][85], principal component analysis (PCA) [86,87], support vector machine (SVM) [88,89], and recently developed enhanced probabilistic networks (EPNN) [90], is the most effective approach to model the subtle variation in EEG signals for computer-aided diagnosis of various neurological and psychiatric disorders. This also applies to alcoholism and its impact on the human brain [39,91,92].…”
Section: Computer-aided Assessment and Diagnosis Of Alcoholism-relatementioning
confidence: 99%
“…In recent years, Adeli and associates have advanced the idea that judicious combination of signal processing techniques such as wavelet transforms [37,[69][70][71][72][73], nonlinear dynamics, and chaos theory [74][75][76][77][78], and pattern recognition and classification techniques such as neural networks [79][80][81][82][83][84][85], principal component analysis (PCA) [86,87], support vector machine (SVM) [88,89], and recently developed enhanced probabilistic networks (EPNN) [90], is the most effective approach to model the subtle variation in EEG signals for computer-aided diagnosis of various neurological and psychiatric disorders. This also applies to alcoholism and its impact on the human brain [39,91,92].…”
Section: Computer-aided Assessment and Diagnosis Of Alcoholism-relatementioning
confidence: 99%
“…Reduced stiffness resulting from damage to members and loosening of connections can be detected through changes in the structural dynamic response. The safety of the structure can be assessed using acceleration data (Adewuyi and Wu 2011;Figueiredo et al 2011;Talebinejad et al 2011;Osornio-Rios et al 2012;Qiao et al 2012;Xiang and Liang 2012;Jiang et al 2012). Accurate assessment of safety, however, is difficult, due to the analytical limitation and the fact that numerous assumptions must be made in the assessment process, considering the inherent uncertainties of large and complex civil structures.…”
Section: Introductionmentioning
confidence: 99%
“…Zong and Oyadiji [8] proposed a new approach for damage detection in beam-like structures with small cracks without baseline modal parameters. Jiang et al [9] stated a new method for crack detection in beams using the slop of mode shape. Bai et al [10] used fractal dimension analysis of higher order mode shape for damage identification of beam structures.…”
Section: Introductionmentioning
confidence: 99%