Camera-based experimental modal analysis with impact excitation: Reaching high frequencies thanks to one accelerometer and random sampling in time

Yong-Gang, Wang; Egner, Felix Simeon; Willems, Thijs; Kirchner, Matteo; Desmet, Wim

doi:10.1016/j.ymssp.2022.108879

Cited by 14 publications

(4 citation statements)

References 47 publications

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“…Lastly, as points of interest for future work and improvement, the authors suggest the use of numerical models to alleviate the need for a physical baseline. In addition, recent research has provided solutions for non-contact measurement devices such as microphones [46], high-speed cameras [47], and laser-vibrometers [48]. Such devices can be used instead of accelerometers considering they don't require physical access to the structure.…”

Section: Discussionmentioning

confidence: 99%

Sparse Damage Detection with Complex Group Lasso and Adaptive Complex Group Lasso

Dimopoulos

Desmet

Deckers

2022

Sensors

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Sparsity-based methods have recently come to the foreground of damage detection applications posing a robust and efficient alternative for traditional approaches. At the same time, low-frequency inspection is known to enable global monitoring with waves propagating over large distances. In this paper, a single sensor complex Group Lasso methodology for the problem of structural defect localization by means of compressive sensing and complex low-frequency response functions is presented. The complex Group Lasso methodology is evaluated on composite plates with induced scatterers. An adaptive setting of the methodology is also proposed to further enhance resolution. Results from both approaches are compared with a full-array, super-resolution MUSIC technique of the same signal model. Both algorithms are shown to demonstrate high and competitive performance.

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Section: Discussionmentioning

confidence: 99%

Sparse Damage Detection with Complex Group Lasso and Adaptive Complex Group Lasso

Dimopoulos

Desmet

Deckers

2022

Sensors

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“…However, when the angle detection of the pendulum is based on noisy digital image processing, similarly to the human-delayed visual processing (Stepan 2009; Zhang et al, 2018; Kovacs and Insperger 2021), only low sampling rates can be achieved, and sampling delay may become critical especially in case of short pendulums. Similar difficulties are discussed and studied, when camera-based image processing is used for modal testing (Wang et al, 2022) or for lane-keeping of automated vehicles (Rossetter and Gerdes 2005; Talvala et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Digital stability of the Furuta pendulum based on angle detection

Vizi

Stépàn

2023

Journal of Vibration and Control

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The digital balancing of the Furuta pendulum is studied when the time delay related to the digital control and the dynamics of the actuator have essential effects on stability. Such cases occur when the sampling rate of the digital control is low, that is, the control cycles are slow due to complex signal processing strategies and/or the implementation of cheap low-capacity microprocessors. A corresponding difficulty is that no direct velocity measurement is available. Critical sampling times are identified and stability charts are constructed and validated by experiments including the possible existence of quasi-periodic self-excited oscillations.

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“…Li et al [28] (2022) developed an adaptive spatial filtering approach to the pixel intensities of sharp edges to fit the mode shapes and improve the modal displacements that are used for the identification of natural frequencies and damping ratios with the least-squares rational function method [29]. Wang et al [30] (2022) used the Lucas-Kanade method of optical flow [31] on randomly sampled video data to perform modal identification on modes lying above the Shannon-Nyquist sampling limit; modal parameters were identified during the mode reconstruction optimisation process. By obtaining the full-field response of the structure with DIC, Molina-Viedma et al [32] (2022) validated classical modal identification methods (PolyMAX [33] and LSCE [34]) also for the case of base excitation, where an input of the structure is defined as an controlled acceleration at the structure's fixation point.…”

Section: Introductionmentioning

confidence: 99%