Page 198 - 《振动工程学报》2026年第5期
P. 198
1402 振 动 工 程 学 报 第 39 卷
HU Mingming. Vibration control of large space structures 36:256-263.
based on model identification[D]. Dalian:Dalian University [14] MUSTAPHA S,LU Y,NG C T,et al. Sensor networks for
of Technology,2021. structures health monitoring: placement, implementations,
[2] 张昊楠. 基于机器学习的航天器损伤检测算法研究 [D]. 成 and challenges:a review[J]. Vibration,2021,4(3):551-
都:电子科技大学,2020. 585.
ZHANG Haonan. Research of spacecraft damage assessment [15] MANOHAR K,BRUNTON B W,KUTZ J N,et al. Data-
method based on machine learning[D]. Chengdu:University driven sparse sensor placement for reconstruction: demon-
of Electronic Science and Technology of China,2020. strating the benefits of exploiting known patterns[J]. IEEE
[3] 李瑞雪,张泽旭. 数据驱动的航天器异常检测工具对未来 Control Systems Magazine,2018,38(3):63-86.
中国空间站管理的启示 [J]. 载人航天,2021,27(2):244- [16] FUKAMI K, MAULIK R, RAMACHANDRA N, et al.
251. Global field reconstruction from sparse sensors with Voronoi
LI Ruixue, ZHANG Zexu. Enlightenment of data-driven tessellation-assisted deep learning[J]. Nature Machine Intelli-
spacecraft anomaly detection tools on future space station gence,2021,3(11):945-951.
management in China[J]. Manned Spaceflight, 2021, [17] JOHNS W, DAVIS L, JANKAUSKI M. Reconstructing
27(2):244-251. full-field flapping wing dynamics from sparse
[4] ZHANG X, WU P F, TAN C. A big data framework for measurements[J]. Bioinspiration & Biomimetics, 2021,
spacecraft prognostics and health monitoring[C]//Proceedings 16(1):016005.
of Prognostics and System Health Management Conference [18] CALLAHAM J L, MAEDA K, BRUNTON S L. Robust
(PHM-Harbin). IEEE,2017:1-7. flow reconstruction from limited measurements via sparse
[5] 王路倩,王振宇,王兴. 结构全场工作模态分析的计算机 representation[J]. Physical Review Fluids, 2019, 4( 10) :
视觉测振方法 [J]. 振动工程学报,2024,37(2):226-236. 103907.
WANG Luqian, WANG Zhenyu, WANG Xing. Full-field [19] YUAN J,SZYDLOWSKI M,WANG X. An optimal sparse
structural modal analysis based on visual vibrometry[J]. Jour- sensing approach for scanning point selection and response
nal of Vibration Engineering,2024,37(2):226-236. reconstruction in full-field structural vibration testing[J].
[6] 王振宇,王路倩,王兴. 考虑相机运动补偿的视觉模态测 Mechanical Systems and Signal Processing, 2024, 212:
试方法 [J]. 振动工程学报,2024,37(6):976-985. 111298.
WANG Zhenyu, WANG Luqian, WANG Xing. Vision- [20] 李峰,郭毅. 压缩感知浅析 [M]. 北京:科学出版社,2015.
based structural modal analysis in presence of camera [21] 李珅,马彩文,李艳,等. 压缩感知重构算法综述 [J]. 红外
motions[J]. Journal of Vibration Engineering, 2024, 与激光工程,2013,42(增刊 1):225-232.
37(6):976-985. LI Shen,MA Caiwen,LI Yan,et al. Survey on reconstruc-
[7] DONOHO D L. Compressed sensing[J]. IEEE Transactions on tion algorithm based on compressive sensing[J]. Infrared and
Information Theory,2006,52(4):1289-1306. Laser Engineering,2013,42(Sup1):225-232.
[8] CANDES E J,WAKIN M B. An introduction to compressive [22] FEENY B F,KAPPAGANTU R. On the physical interpreta-
sampling[J]. IEEE Signal Processing Magazine, 2008, tion of proper orthogonal modes in vibrations[J]. Journal of
25(2):21-30. Sound and Vibration,1998,211(4):607-616.
[9] WU Y,ROSCA M,LILLICRAP T. Deep compressed sens- [23] KERSCHEN G,GOLINVAL J C. Physical interpretation of
ing[C]//Proceedings of the 36th International Conference on the proper orthogonal modes using the singular value decom-
Machine Learning. Long Beach,California,2019. position[J]. Journal of Sound and Vibration,2002,249(5):
[10] MARTINEZ B,GREEN A,SILVA M F,et al. Sparse and 849-865.
random sampling techniques for high-resolution, full-field, [24] HAN S,FEENY B. Application of proper orthogonal decom-
BSS-based structural dynamics identification from video[J]. position to structural vibration analysis[J]. Mechanical
Sensors,2020,20(12):3526. Systems and Signal Processing,2003,17(5):989-1001.
[11] INMAN D J. Engineering Vibration[M]. 4th ed. Prentice [25] BERKOOZ G, HOLMES P, LUMLEY J L. The proper
Hall,2013. orthogonal decomposition in the analysis of turbulent flows[J].
[12] 杨辰. 结构健康监测的传感器优化布置研究进展与展望 [J]. Annual Review of Fluid Mechanics,1993,25:539-575.
振动与冲击,2020,39(17):82-93. [26] ABDI H,WILLIAMS L J. Principal component analysis[J].
YANG Chen. Advances and prospects for optimal sensor WIREs Computational Statistics,2010,2(4):433-459.
placement of structural health monitoring[J]. Journal of Vibra- [27] LORENZ E N. Empirical orthogonal functions and statistical
tion and Shock,2020,39(17):82-93. weather prediction[R]. Cambridge:Massachusetts Institute of
[13] PAPADOPOULOS M, GARCIA E. Sensor placement Technology,Department of Meteorology,1956.
methodologies for dynamic testing[J]. AIAA Journal,1998, [28] TRINDADE M A,WOLTER C,SAMPAIO R. Karhunen-

