2016
DOI: 10.1016/j.ymssp.2015.05.027
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Identification of sudden stiffness changes in the acceleration response of a bridge to moving loads using ensemble empirical mode decomposition

Abstract: Publication informationMechanical Systems and Signal Processing, 66-67 : 314-338 Publisher ElsevierItem record/more information http://hdl.handle.net/10197/7727 Publisher's statement þÿ T h i s i s t h e a u t h o r s v e r s i o n o f a w o r k t h a t

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Cited by 64 publications
(47 citation statements)
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“…The ability of EEMD method to remove high frequency components from other frequency components makes it possible to mitigate the influence from measurement noise. It is shown in the literature that the EEMD can solve the mode mixing problem of the EMD method [17]. The main purpose of the current study is to improve the accuracy of the indirect identification of bridge natural frequencies, particularly indifferent vehicle speeds.…”
Section: Ensemble Empirical Mode Decomposition (Eemd) Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The ability of EEMD method to remove high frequency components from other frequency components makes it possible to mitigate the influence from measurement noise. It is shown in the literature that the EEMD can solve the mode mixing problem of the EMD method [17]. The main purpose of the current study is to improve the accuracy of the indirect identification of bridge natural frequencies, particularly indifferent vehicle speeds.…”
Section: Ensemble Empirical Mode Decomposition (Eemd) Methodsmentioning
confidence: 99%
“…The noise amplitude A n is a key parameter affecting the performance of the EEMD method on the mode separation. Too low of a noise amplitude would not cause enough changes of the decomposed signal and too high of one would create redundant IMFs [17]. defined as the mean of an ensemble number of trials that white noise is added to the signal.…”
Section: Ensemble Empirical Mode Decomposition (Eemd) Methodsmentioning
confidence: 99%
“…In fact, the utilization of the EMDs alone can yield identification of structural damage based on changes to its intrinsic mode functions' curvature [127]. Additionally, many SHM applications of the HHT have been conducted on data obtained from numerical models [128] and laboratory-based experiments [129].…”
Section: Advancements To Operational Specific Challengesmentioning
confidence: 99%
“…Civil engineering structures are subjected to continuous structural deterioration caused by aging, low-cycle fatigue loads from smaller earthquakes, and daily environmental loading. erefore, the severity of deterioration needs to be monitored periodically in order to ensure structural integrity and safety [1]. If damage is detected in the early stage, maintenance works will be carried out timely with low cost.…”
Section: Introductionmentioning
confidence: 99%
“…e first question that arises is how to characterize a nonlinear response as mentioned above. is has been addressed in a wide range of mechanical and civil engineering applications via signal processing methods like Hilbert-Huang transform-based [1,17], Wavelet transform-based [7], neural network-based [18,19], and independent component analysis-based methods [20]. Yang and Nagarajaiah [6] combined wavelet transform with independent component analysis (ICA) to detect linear structural instant, which had excellent robustness.…”
Section: Introductionmentioning
confidence: 99%