Validation and Application of Vision-Based Vibration Measurement Algorithms for Engineering Structures

JIN Nan; TAN Zhisen; YU Qing; HOU Sijun; CHANG Haosong; SHI Zhongqi; SUN Yanlong; ZHONG Rumian

doi:10.3724/j.gyjzG25103105

Volume 55 Issue 12

Dec. 2025

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Article Navigation > INDUSTRIAL CONSTRUCTION > 2025 > 55(12): 159-166

JIN Nan, TAN Zhisen, YU Qing, HOU Sijun, CHANG Haosong, SHI Zhongqi, SUN Yanlong, ZHONG Rumian. Validation and Application of Vision-Based Vibration Measurement Algorithms for Engineering Structures[J]. INDUSTRIAL CONSTRUCTION, 2025, 55(12): 159-166. doi: 10.3724/j.gyjzG25103105

Citation:

JIN Nan, TAN Zhisen, YU Qing, HOU Sijun, CHANG Haosong, SHI Zhongqi, SUN Yanlong, ZHONG Rumian. Validation and Application of Vision-Based Vibration Measurement Algorithms for Engineering Structures[J]. INDUSTRIAL CONSTRUCTION, 2025, 55(12): 159-166. doi: 10.3724/j.gyjzG25103105

Citation:

JIN Nan, TAN Zhisen, YU Qing, HOU Sijun, CHANG Haosong, SHI Zhongqi, SUN Yanlong, ZHONG Rumian. Validation and Application of Vision-Based Vibration Measurement Algorithms for Engineering Structures[J]. INDUSTRIAL CONSTRUCTION, 2025, 55(12): 159-166. doi: 10.3724/j.gyjzG25103105

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Validation and Application of Vision-Based Vibration Measurement Algorithms for Engineering Structures

doi: 10.3724/j.gyjzG25103105

1. Shenzhen Technology Institute of Urban Public Safety，Shenzhen 518023，China;
2. Safe Urban Development Institute of Science and Technology （Shenzhen），Shenzhen 518023，China;
3. University of Macau，Macau 999078，China;
4. Housing Resettlement Center，Beijing 100852，China;
5. CRCC City Interation Development Co.，Ltd.，Chengdu 610041，China;
6. Shenzhen University of Information Technology，Shenzhen 518000，China

Received Date: 2025-10-31
Available Online: 2026-01-06
Publish Date: 2025-12-20

Abstract

Abstract

This study systematically evaluated nine mainstream vision-based vibration measurement algorithms through comprehensive performance comparison tests. The results demonstrated that target-based approaches achieved superior measurement accuracy over targetless methods， with an error mean （EM） and normalized root mean square error （NRMSE） as low as 0.92 mm and 4.97%， respectively. Among targetless methods， the optical flow method performed best， with corresponding values of 1.5 mm and 7.8%， significantly outperforming other non-contact targetless approaches. These comparative findings provide valuable guidance for implementing vision-based technologies in engineering. Field applications further confirmed that the algorithms accurately extract structural vibration frequencies， validating their effectiveness and generalization capability in real-world scenarios.
- vibration measurement of engineering structures,
- computer vision,
- multiple algorithms,
- performance comparison

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References(30)

References

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