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Article

Performance of Camera-Based Vibration Monitoring Systems in Input-Output Modal Identification Using Shaker Excitation

1
School of Engineering, University of Leicester, University Road, Leicester LE1 7RH, UK
2
Faculty of Civil Engineering, Wrocław University of Science and Technology, Wybrzeże Stanisława Wyspiańskiego 27, 50-370 Wrocław, Poland
3
School of Civil Engineering, University of Leeds, Woodhouse Lane, Leeds LS2 9DY, UK
*
Author to whom correspondence should be addressed.
Academic Editor: George Karras
Remote Sens. 2021, 13(17), 3471; https://doi.org/10.3390/rs13173471
Received: 26 June 2021 / Revised: 18 August 2021 / Accepted: 29 August 2021 / Published: 1 September 2021
(This article belongs to the Section Engineering Remote Sensing)
Despite significant advances in the development of high-resolution digital cameras in the last couple of decades, their potential remains largely unexplored in the context of input-output modal identification. However, these remote sensors could greatly improve the efficacy of experimental dynamic characterisation of civil engineering structures. To this end, this study provides early evidence of the applicability of camera-based vibration monitoring systems in classical experimental modal analysis using an electromechanical shaker. A pseudo-random and sine chirp excitation is applied to a scaled model of a cable-stayed bridge at varying levels of intensity. The performance of vibration monitoring systems, consisting of a consumer-grade digital camera and two image processing algorithms, is analysed relative to that of a system based on accelerometry. A full set of modal parameters is considered in this process, including modal frequency, damping, mass and mode shapes. It is shown that the camera-based vibration monitoring systems can provide high accuracy results, although their effective application requires consideration of a number of issues related to the sensitivity, nature of the excitation force, and signal and image processing. Based on these findings, suggestions for best practice are provided to aid in the implementation of camera-based vibration monitoring systems in experimental modal analysis. View Full-Text
Keywords: experimental modal analysis; modal damping; modal mass; computer vision; vibration testing experimental modal analysis; modal damping; modal mass; computer vision; vibration testing
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MDPI and ACS Style

Kalybek, M.; Bocian, M.; Pakos, W.; Grosel, J.; Nikitas, N. Performance of Camera-Based Vibration Monitoring Systems in Input-Output Modal Identification Using Shaker Excitation. Remote Sens. 2021, 13, 3471. https://doi.org/10.3390/rs13173471

AMA Style

Kalybek M, Bocian M, Pakos W, Grosel J, Nikitas N. Performance of Camera-Based Vibration Monitoring Systems in Input-Output Modal Identification Using Shaker Excitation. Remote Sensing. 2021; 13(17):3471. https://doi.org/10.3390/rs13173471

Chicago/Turabian Style

Kalybek, Maksat, Mateusz Bocian, Wojciech Pakos, Jacek Grosel, and Nikolaos Nikitas. 2021. "Performance of Camera-Based Vibration Monitoring Systems in Input-Output Modal Identification Using Shaker Excitation" Remote Sensing 13, no. 17: 3471. https://doi.org/10.3390/rs13173471

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