Citation: | He Mengfu, Zhang Yiming, Qin Manqing, Xu Zili, Liao Tongtong. Research on Vibration Measurement Method of Nuclear Power Plant Pipeline Based on Unmarked Vision Algorithm[J]. Nuclear Power Engineering, 2024, 45(4): 221-227. doi: 10.13832/j.jnpe.2024.04.0221 |
[1] |
HOU R R, XIA Y. Review on the new development of vibration-based damage identification for civil engineering structures: 2010-2019[J]. Journal of Sound and Vibration, 2021, 491: 115741. doi: 10.1016/j.jsv.2020.115741
|
[2] |
RAO A S, NGUYEN TN, PALANISWAMI M, et al. Vision-based automated crack detection using convolutional neural networks for condition assessment of infrastructure[J]. Structural Health Monitoring, 2021, 20(4): 2124-2142. doi: 10.1177/1475921720965445
|
[3] |
AGATHOS K, TATSIS K E, VLACHAS K, et al. Parametric reduced order models for output-only vibration-based crack detection in shell structures[J]. Mechanical Systems and Signal Processing, 2022, 162: 108051. doi: 10.1016/j.ymssp.2021.108051
|
[4] |
CARDEN E P, FANNING P. Vibration based condition monitoring: a review[J]. Structural Health Monitoring, 2004, 3(4): 355-377. doi: 10.1177/1475921704047500
|
[5] |
贺锋涛,左波,张冠芳. 基于光纤振动幅度的激光散斑控制[J]. 西北大学学报: 自然科学版,2015, 45(1): 28-30.
|
[6] |
吴世松. 中远程光纤激光多普勒微振动检测技术研究[D]. 北京: 中国科学院大学(中国科学院长春光学精密机械与物理研究所),2020.
|
[7] |
陈玉娟,石芸苧,王立梅. 电涡流振动位移传感器动态校准技术研究[J]. 工业计量,2013, 23(S1): 11-12.
|
[8] |
PAN B, XIE H M, XU B Q, et al. Performance of sub-pixel registration algorithms in digital image correlation[J]. Measurement Science and Technology, 2006, 17(6): 1615-1621. doi: 10.1088/0957-0233/17/6/045
|
[9] |
JAVH J, SLAVIČ J, M BOLTEŽAR. The subpixel resolution of optical-flow-based modal analysis[J]. Mechanical Systems and Signal Processing, 2017, 88: 89-99. doi: 10.1016/j.ymssp.2016.11.009
|
[10] |
郭天. 面向结构健康监测的高空间分辨率振动测量与损伤识别算法[D]. 西安: 西安交通大学,2019.
|