A Novel Digital Metrological Traceability Method for the Monocular Vision-Based Linear and Angular Measurement in Vibration Calibration

In recent years, the monocular vision method has been gradually applied in the precision vibration calibration. To ensure its measurement performance, a highly efficient and accurate traceability strategy for the monocular vision measurement has become especially important. In this study, a novel digital metrological traceability method for the monocular vision-based linear and angular vibration measurement is proposed. To facilitate unification and promotion, a standard digital vibration video database, along with a universal uncertainty evaluation model, has been established. This method achieves standard linear and angular vibration measurements by combining the sub-pixel feature edge and corner extraction techniques as well as an accurate rounding error correction model, whose frequency range can be extended to 0.01-10 Hz. The numerical experimental results show that the maximum relative deviations of the monocular vision-based linear and angular vibration measurements from the standard values are less than 0.070% and 0.069%, respectively, while the expanded measurement uncertainty is less than 0.093%. This method promotes the improvement and unification of the MV-based linear and angular vibration metrological traceability system and achieves a flat traceability chain. Additionally, it only requires a high refresh rate display and a series of standard digital vibration videos to achieve the highly efficient traceability, which enables MV-based in-situ calibration and traceability of vibration sensors and advances the digital transformation of vibration metrology.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-04-21
DOI
https://doi.org/10.1109/jsen.2025.3560699
Primary Topic
Advanced Measurement and Metrology Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

A Novel Digital Metrological Traceability Method for the Monocular Vision-Based Linear and Angular Measurement in Vibration Calibration

Sifan Mo, Deguang Wang, Ming Bo Yang, Chenguang Cai et al.
IEEE Sensors Journal
Advanced Measurement and Metrology Techniques
article

A Novel Digital Metrological Traceability Method for the Monocular Vision-Based Linear and Angular Measurement in Vibration Calibration

Sifan Mo, Deguang Wang, Ming Bo Yang, Chenguang Cai, Ying Wang, Zhihua Liu
article en

Abstract

In recent years, the monocular vision method has been gradually applied in the precision vibration calibration. To ensure its measurement performance, a highly efficient and accurate traceability strategy for the monocular vision measurement has become especially important. In this study, a novel digital metrological traceability method for the monocular vision-based linear and angular vibration measurement is proposed. To facilitate unification and promotion, a standard digital vibration video database, along with a universal uncertainty evaluation model, has been established. This method achieves standard linear and angular vibration measurements by combining the sub-pixel feature edge and corner extraction techniques as well as an accurate rounding error correction model, whose frequency range can be extended to 0.01-10 Hz. The numerical experimental results show that the maximum relative deviations of the monocular vision-based linear and angular vibration measurements from the standard values are less than 0.070% and 0.069%, respectively, while the expanded measurement uncertainty is less than 0.093%. This method promotes the improvement and unification of the MV-based linear and angular vibration metrological traceability system and achieves a flat traceability chain. Additionally, it only requires a high refresh rate display and a series of standard digital vibration videos to achieve the highly efficient traceability, which enables MV-based in-situ calibration and traceability of vibration sensors and advances the digital transformation of vibration metrology.

IEEE Sensors JournalVol. 25(11)
Guizhou University (CN), Chinese Academy of Sciences (CN), Institute of Microelectronics (CN), Institute of Mechanics (CN), National Institute of Metrology (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
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Openalex Percentile: Top 92%
Advanced Measurement and Metrology Techniques
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