Abstract detail

347 / 2021-07-07 19:37:12
A Node-Antinode Searching Method for Spatial Filtering in Camera based Vibration Modal Analysis
full-field vibration measurement,camera-based modal analysis,optimization-based spatial filtering,nodes and antinodes
Vibration of continuous systems
Abstract Accepted
Miaoshuo Li / University of Huddersfield
Guojin Feng / University of Huddersfield
Yongjia Xu / University of Huddersfield
Zhike Peng / Shanghai Jiaotong University; China
Fengshou Gu / University of Huddersfield
Andrew D Ball / University of Huddersfield
Video camera-based vibration measurement is increasingly used for modal analysis, because of its superior merits in noncontact and full-field measurement. Recently, spatial filtering-based methods have been found to be effective in improving signal to noise ratio (SNR) of vibration signal to a higher level. In comparison with conventional methods, the spatial filtering method needs mode shapes to be the weight vectors of filter during computation, even though it is unknown at beginning. For this reason, a fast and reliable solution of optimization problem defined by spatial filtering method is proposed in this study. The weight vector is firstly constructed by a piecewise function with parameters of node/antinode locations. Then, the spatial filtering is applied to video footages from a high-speed camera to calculate the output signal of modal displacement. Finally, the undetermined parameters are optimized one by one through maximizing the power of output signal. The simulation study shows the proposed method allows the weight vector to converge to modal shapes with fast iterations, confirming the optimization problem defined in spatial filtering method is solvable with high accuracy.

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Important Dates

Abstract Submission Deadline:

 31st March 2021 15th April 2021

Extended Deadline: 1st Aug. 2022

 

Abstract Acceptance:

30th April  2021 Rollover

 

Full Paper Submission Deadline:

30th June 2021  14th July 2021

Extended Deadline: 15th Aug. 2022 

 

Notification of Acceptance:

15th August 2021 1st Sept. 2021

1st Sept. 2022

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