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Yuequan Bao
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Cited by
Year
Computer vision and deep learning–based data anomaly detection method for structural health monitoring
Y Bao, Z Tang, H Li, Y Zhang
Structural Health Monitoring 18 (2), 401-421, 2019
4602019
The state of the art of data science and engineering in structural health monitoring
Y Bao, Z Chen, S Wei, Y Xu, Z Tang, H Li
Engineering 5 (2), 234-242, 2019
3462019
Convolutional neural network‐based data anomaly detection method using multiple information for structural health monitoring
Z Tang, Z Chen, Y Bao, H Li
Structural Control and Health Monitoring 26 (1), e2296, 2019
3042019
Surface fatigue crack identification in steel box girder of bridges by a deep fusion convolutional neural network based on consumer-grade camera images
Y Xu, Y Bao, J Chen, W Zuo, H Li
Structural Health Monitoring 18 (3), 653-674, 2019
2482019
Compressive sampling for accelerometer signals in structural health monitoring
Y Bao, JL Beck, H Li
Structural Health Monitoring 10 (3), 235-246, 2011
1942011
Machine learning paradigm for structural health monitoring
Y Bao, H Li
Structural health monitoring 20 (4), 1353-1372, 2021
1852021
Automatic seismic damage identification of reinforced concrete columns from images by a region‐based deep convolutional neural network
Y Xu, S Wei, Y Bao, H Li
Structural Control and Health Monitoring 26 (3), e2313, 2019
1642019
Compressive sampling–based data loss recovery for wireless sensor networks used in civil structural health monitoring
Y Bao, H Li, X Sun, Y Yu, J Ou
Structural Health Monitoring 12 (1), 78-95, 2013
1612013
Embedding compressive sensing-based data loss recovery algorithm into wireless smart sensors for structural health monitoring
Z Zou, Y Bao, H Li, BF Spencer, J Ou
IEEE Sensors Journal 15 (2), 797-808, 2014
1202014
Condition assessment of cables by pattern recognition of vehicle-induced cable tension ratio
S Li, S Wei, Y Bao, H Li
Engineering Structures 155, 1-15, 2018
1162018
Fractal dimension‐based damage detection method for beams with a uniform cross‐section
H Li, Y Huang, J Ou, Y Bao
Computer‐Aided Civil and Infrastructure Engineering 26 (3), 190-206, 2011
1042011
Identification of time‐varying cable tension forces based on adaptive sparse time‐frequency analysis of cable vibrations
Y Bao, Z Shi, JL Beck, H Li, TY Hou
Structural Control and Health Monitoring 24 (3), e1889, 2017
1032017
Optimal policy for structure maintenance: A deep reinforcement learning framework
S Wei, Y Bao, H Li
Structural Safety 83, 101906, 2020
902020
Selection of regularization parameter for l1-regularized damage detection
R Hou, Y Xia, Y Bao, X Zhou
Journal of sound and vibration 423, 141-160, 2018
902018
Structural damage identification based on integration of information fusion and shannon entropy
H Li, Y Bao, J Ou
Mechanical Systems and Signal Processing 22 (6), 1427-1440, 2008
882008
An active learning method combining deep neural network and weighted sampling for structural reliability analysis
Z Xiang, J Chen, Y Bao, H Li
Mechanical Systems and Signal Processing 140, 106684, 2020
852020
Compressive sensing‐based lost data recovery of fast‐moving wireless sensing for structural health monitoring
Y Bao, Y Yu, H Li, X Mao, W Jiao, Z Zou, J Ou
Structural Control and Health Monitoring 22 (3), 433-448, 2015
792015
Identification of spatio‐temporal distribution of vehicle loads on long‐span bridges using computer vision technology
Z Chen, H Li, Y Bao, N Li, Y Jin
Structural Control and Health Monitoring 23 (3), 517-534, 2016
782016
Analyzing and modeling inter-sensor relationships for strain monitoring data and missing data imputation: a copula and functional data-analytic approach
Z Chen, H Li, Y Bao
Structural Health Monitoring 18 (4), 1168-1188, 2019
662019
An approach of reliable data transmission with random redundancy for wireless sensors in structural health monitoring
Z Zou, Y Bao, F Deng, H Li
IEEE Sensors Journal 15 (2), 809-818, 2014
662014
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