Abstract detail

438 / 2022-08-15 13:59:27
Vision-based High Precision Frequency Detection with the Assistance of Non-Harmonic Analysis Technology
Frequency detection; Digital image correlation; Non-harmonic Fourier transform
Vibration Testing and Sensing techniques
Draft Paper Accepted
rongfeng deng / Beijing Institute of Technology; Zhuhai
Fengshou Gu / University of Huddersfield
Vision-based vibration measurement techniques are receiving increasing attention in the field of structural health monitoring, due to the fact that such methods can achieve non-contact measurements and have the advantages of simple systems and cost reduction. To address the shortcomings of low sampling rate and low accuracy faced by vision-based vibration measurement techniques, this paper proposes a method for frequency estimation using NHFA based on the acquisition of sub-pixel-level vibration data using digital image correlation. Through simulation and experimental verification, the proposed method can achieve frequency estimation with arbitrary accuracy without the limitation of sampling time, and even can achieve accurate frequency estimation without satisfying the Nyquist sampling theorem.

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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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