Identification of a scaled-model riser dynamics through a combined computer vision and adaptive Kalman filter approach

Trigo, F.C.; Martins, Flavius Portella Ribas; Fleury, Agenor de Toledo; Silva, H.C.

doi:10.1016/j.ymssp.2013.10.005

Cited by 13 publications

(6 citation statements)

References 18 publications

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“…14 With a relatively lower cost and better flexibility in structure, optical devices and cameras offer effective alternatives to noncontact equipment. Benefiting from the wide availability of affordable high-quality digital image sensors and high-performance computers, cheap high-resolution cameras have been growing used in many areas.…”

Section: Introductionmentioning

confidence: 99%

Vision-based displacement measurement sensor using modified Taylor approximation approach

et al. 2016

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, "Vision-based displacement measurement sensor using modified Taylor approximation approach," Opt. Eng. 55 (11) Abstract. The development of image sensors and optics lenses has contributed to the rapidly increasing use of vision-based methods as noncontact measurement methods in many areas. A high-speed camera system is developed to realize the displacement measurement in real time. Conventional visual measurement algorithms are commonly subjected to various shortcomings, such as complex processes, multiparameter adjustments, or integer-pixel accuracy. Inspired from the combination of block-matching algorithm and simplified optical flow, a motion estimation algorithm that uses modified Taylor approximation is proposed and applied to the vision sensor system. Simplifying integer-pixel searching with a rounding-iterative operation enables the modified algorithm to rapidly accomplish one displacement extraction within 1 ms and yield satisfactory subpixel accuracy. The performance of the vision sensor is evaluated through a simulation test and two experiments on a grating ruler motion platform and a steering wheel system of a forklift. Experimental results show that the developed vision sensor can extract accurate displacement signals and accomplish the vibration measurement of engineering structures.

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Section: Introductionmentioning

confidence: 99%

Vision-based displacement measurement sensor using modified Taylor approximation approach

et al. 2016

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“…With these devices, all movement information can be shown visually, regardless of whether such movement can be seen or not. Nowadays, vision systems are widely used in engineering monitoring [8][9][10], underwater measurement [11], and sound passive recovery [12]. A vision technique has been widely developed for structural displacement measurement.…”

Section: Introductionmentioning

confidence: 99%

Vibration extraction based on fast NCC algorithm and high-speed camera

et al. 2015

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In this study, a high-speed camera system is developed to complete the vibration measurement in real time and to overcome the mass introduced by conventional contact measurements. The proposed system consists of a notebook computer and a high-speed camera which can capture the images as many as 1000 frames per second. In order to process the captured images in the computer, the normalized cross-correlation (NCC) template tracking algorithm with subpixel accuracy is introduced. Additionally, a modified local search algorithm based on the NCC is proposed to reduce the computation time and to increase efficiency significantly. The modified algorithm can rapidly accomplish one displacement extraction 10 times faster than the traditional template matching without installing any target panel onto the structures. Two experiments were carried out under laboratory and outdoor conditions to validate the accuracy and efficiency of the system performance in practice. The results demonstrated the high accuracy and efficiency of the camera system in extracting vibrating signals.

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“…This technique benefits from the progress in image acquisition and computer vision with the advantages of remote measurement, nonintrusive characteristic, and no mass introduction. Hence, this technique has been applied in several areas, including structures monitoring [7][8][9][10][11], human motion [12], and underwater measurement [13]. Lee and Shinozuka [10] used image processing techniques, such as texture recognition and projections of the captured image, to accomplish real-time displacement measurement of a flexible bridge.…”

Section: Introductionmentioning

confidence: 99%

“…Jurjo et al [11] presented an experimental methodology for the dynamic analysis of slender structures based on the digital image acquisition and processing techniques. Trigo et al [13] implemented a combined computer vision and adaptive Kalman filter approach to identify the coordinates of control points in underwater environment. Reference [14] of Park et al realized 3D displacement measurement model for health monitoring of structures using a motion capture system.…”

Section: Introductionmentioning

confidence: 99%

Vision-Based Faint Vibration Extraction Using Singular Value Decomposition

Lei

Guo

Zhu

2015

Mathematical Problems in Engineering

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Vibration measurement is important for understanding the behavior of engineering structures. Unlike conventional contact-type measurements, vision-based methodologies have attracted a great deal of attention because of the advantages of remote measurement, nonintrusive characteristic, and no mass introduction. It is a new type of displacement sensor which is convenient and reliable. This study introduces the singular value decomposition (SVD) methods for video image processing and presents a vibration-extracted algorithm. The algorithms can successfully realize noncontact displacement measurements without undesirable influence to the structure behavior. SVD-based algorithm decomposes a matrix combined with the former frames to obtain a set of orthonormal image bases while the projections of all video frames on the basis describe the vibration information. By means of simulation, the parameters selection of SVD-based algorithm is discussed in detail. To validate the algorithm performance in practice, sinusoidal motion tests are performed. Results indicate that the proposed technique can provide fairly accurate displacement measurement. Moreover, a sound barrier experiment showing how the high-speed rail trains affect the sound barrier nearby is carried out. It is for the first time to be realized at home and abroad due to the challenge of measuring environment.

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Identification of a scaled-model riser dynamics through a combined computer vision and adaptive Kalman filter approach

Cited by 13 publications

References 18 publications

Vision-based displacement measurement sensor using modified Taylor approximation approach

Vision-based displacement measurement sensor using modified Taylor approximation approach

Vibration extraction based on fast NCC algorithm and high-speed camera

Vision-Based Faint Vibration Extraction Using Singular Value Decomposition

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