2016
DOI: 10.21014/acta_imeko.v5i4.426
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Uncertainty in vision based modal analysis: probabilistic studies and experimental validation

Abstract: This paper analyses the issues related with the application of photogrammetric methods in the context of modal analysis. In this field of mechanical testing, the vibrations of the measurand are monitored. The possibility to measure displacement of several monitored points without directly instrumenting those, pushes the interest toward the application of an image based measurement system. However, the process of acquiring a moving target with a camera is complex due to the motion blur phenomenon. The effects o… Show more

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Cited by 5 publications
(2 citation statements)
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References 27 publications
(38 reference statements)
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“…As already experienced in other studies [19]- [25], MCS is a powerful tool to estimate the uncertainty and assess the robustness of measurements processed by software. Two different MCS series have been carried out to estimate LDSIMG uncertainty for the ADSMM and the NEDSM, respectively.…”
Section: Monte Carlo Simulationmentioning
confidence: 96%
“…As already experienced in other studies [19]- [25], MCS is a powerful tool to estimate the uncertainty and assess the robustness of measurements processed by software. Two different MCS series have been carried out to estimate LDSIMG uncertainty for the ADSMM and the NEDSM, respectively.…”
Section: Monte Carlo Simulationmentioning
confidence: 96%
“…In design and materials engineering, experimental validation of numerical models is commonly required in order to verify the quality of the simulation [1], [2]. In general, the level of validation is directly tied to the intended use of the model and then, the supporting testing experiments are defined [3], [4]. While indirect validation uses experimental results that cannot be controlled by the user (e.g., from the literature or from previous researches), a direct approach performs experiments on the quantities of interest [5], with the aim of reproduce, through the experiments, actual behaviour of simulated model [4], [6].…”
Section: Introductionmentioning
confidence: 99%