TY - GEN
T1 - Marker-Assisted 3D Vibration Visual Measurement with a Single Camera
AU - Wang, Ping
AU - Deng, Rongfeng
AU - Cao, Yanling
AU - Huang, Baoshan
AU - Pan, Chunrong
AU - Gu, Fengshou
N1 - Funding Information:
Supports from the National Natural Science Foundation of China (62076029), Inner Mongolia Autonomous Region Science and Technology Program (2023YFSW003), the Guangdong Provincial Department of Education Characteristic Innovation Project (2022KTSCX199, 2021KTSCX186) and the Guangdong Provincial Department of Education Key Area Research Special Programme (2021ZDZX1089) are gratefully acknowledged.
Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024/9/3
Y1 - 2024/9/3
N2 - Vision-based vibration detection technology can realize non-contact detection of global vibration of the structure without affecting the structure, and receives more and more attention in the field of structural health monitoring. Most of the traditional visual vibration measurement techniques can only detect two-dimensional in-plane vibration, while three-dimensional vibration detection requires the assistance of two cameras or optical devices, which makes the utilization of a single camera to achieve three-dimensional vibration detection a pursued goal. In this paper, a marker-assisted 3D vibration detection method is proposed, which requires only a single camera to realize the detection of 3D vibration and has no requirement for the flatness of the surface of the object under test. Out-of-plane vibration detection is achieved by detecting the variation of the distance between two markers in the image, and in-plane vibration detection is achieved by using the variation of the coordinates of the center of the markers. The effectiveness of the proposed method is verified by simulation and experiment, and the results show that the proposed method has certain application prospects.
AB - Vision-based vibration detection technology can realize non-contact detection of global vibration of the structure without affecting the structure, and receives more and more attention in the field of structural health monitoring. Most of the traditional visual vibration measurement techniques can only detect two-dimensional in-plane vibration, while three-dimensional vibration detection requires the assistance of two cameras or optical devices, which makes the utilization of a single camera to achieve three-dimensional vibration detection a pursued goal. In this paper, a marker-assisted 3D vibration detection method is proposed, which requires only a single camera to realize the detection of 3D vibration and has no requirement for the flatness of the surface of the object under test. Out-of-plane vibration detection is achieved by detecting the variation of the distance between two markers in the image, and in-plane vibration detection is achieved by using the variation of the coordinates of the center of the markers. The effectiveness of the proposed method is verified by simulation and experiment, and the results show that the proposed method has certain application prospects.
KW - Single Camera
KW - Structural Health Monitoring
KW - Vision-based Vibration Detection
UR - http://www.scopus.com/inward/record.url?scp=85204381727&partnerID=8YFLogxK
UR - https://doi.org/10.1007/978-3-031-70235-8
U2 - 10.1007/978-3-031-70235-8_15
DO - 10.1007/978-3-031-70235-8_15
M3 - Conference contribution
AN - SCOPUS:85204381727
SN - 9783031702341
SN - 9783031702372
VL - 170
T3 - Mechanisms and Machine Science
SP - 161
EP - 172
BT - Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic - TEPEN2024-IWFDP
A2 - Chen, Bingyan
A2 - Liang, Xiaoxia
A2 - Lin, Tian Ran
A2 - Chu, Fulei
A2 - Ball, Andrew D.
PB - Springer, Cham
T2 - TEPEN International Workshop on Fault Diagnostic and Prognostic
Y2 - 8 May 2024 through 11 May 2024
ER -
