2022
DOI: 10.3390/math10152689
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Pearson Correlation and Discrete Wavelet Transform for Crack Identification in Steel Beams

Abstract: Discrete wavelet transform is the useful means for crack identification of beam structures. However, its accuracy is severely dependent on the selecting mother wavelet and vanishing moments, which raises a significant challenge in practical structural crack identification. In this paper, a novel approach is introduced for structural health monitoring of beams to fix this challenge. The approach is based on the combination of statistical characteristics of vibrational mode shapes of the beam structures and thei… Show more

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Cited by 42 publications
(9 citation statements)
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“…Weights and connections are given as data passes along, and when the data reaches the successor node, the weights are added and either weakened or intensified. There will be no changes to the weights if the output obtained is equivalent to the expected output [13][14][15]. However, if the output obtained differs from the real result, the error will propagate backwards through the system, and the weights will be adjusted accordingly.…”
Section: Feed-forward Back-propagation Neural Networkmentioning
confidence: 99%
“…Weights and connections are given as data passes along, and when the data reaches the successor node, the weights are added and either weakened or intensified. There will be no changes to the weights if the output obtained is equivalent to the expected output [13][14][15]. However, if the output obtained differs from the real result, the error will propagate backwards through the system, and the weights will be adjusted accordingly.…”
Section: Feed-forward Back-propagation Neural Networkmentioning
confidence: 99%
“…Machorro-Lopez et al [28] proposed a wavelet energy accumulation method based on wavelet changes for the detection, location and quantification of axle damage. Saadatmorad et al [29] proposed a new method for damage detection of beam structures by combining the statistical characteristics of the vibration modes of beam structures and their discrete wavelet transform (hereinafter called 'DWT'). Fallahian et al [30] proposed a damage detection algorithm based on a DWT and pattern recognition model set.…”
Section: Introductionmentioning
confidence: 99%
“…Hence, the investigation is conducted by simulating the RC frame whose materials have been validated in order to reach reliable results. Meanwhile, numerical investigations have taken interest from researchers such as Roumaissa et al [19], Le Thanh et al [20], Saadatmorad et al [21], Shirazi et al [22]. For more enormous and complex structures, the presented derivative procedure is promising for similar examinations on the frequency declination caused by damage, especially RC buildings regardless of numerical or experimental studies.…”
Section: Introductionmentioning
confidence: 99%