Kang, D. and Cha, Y.J. (2018), Autonomous UAVs for Structural Health Monitoring Using Deep Learning and an Ultrasonic Beacon System with Geo-Tagging. Computer-Aided Civil and Infrastructure Engineering.
11. An iterated cubature unscented Kalman filter for large-DoF systems identification with noisy data
Ghorbani, E.*, & Cha, Y.J.† (2018). “Iterated cubature unscented Kalman filter for large-DoF systems identification with noisy data,” Journal of Sound and Vibration, (IF: 2.593), 420: 21-34.
Cha Y.J.†, Choi W.*, Suh G.*, and Mahmoudkhani S.* and Buyukozturk O.* (2018) “Autonomous structural visual inspection using region-based deep learning for detecting multiple damage types,” Computer-Aided Civil and Infrastructure Engineering (IF: 5.786), DOI: 10.1111/mice.12334. Top journal within Civil Engineering discipline).
9. Deep learning based crack damage detection using convolutional neural networks
Cha Y.J.†, Choi W.*, and Buyukozturk, O. (2017) “Deep learning-based crack damage detection using convolutional neural networks,” Computer-Aided Civil and Infrastructure Engineering; 32(5) 361-378 (IF:5.288).
8. Unsupervised novelty detection based structural damage localization using density peaks-based fast clustering algorithm
Cha Y.J. †, and Wang Z.* (2017) “Unsupervised Novelty Detection Based Structural Damage Localization Using Density Peaks-Based Fast Clustering Algorithm,” Structural Health Monitoring (IF: 3.193), accepted.
7. Phase-based optical flow based structural system identification and damage detection
Cha Y.J.† Chen J.G. and Büyüköztürk O. (2017), “Output-Only Computer Vision Based Damage Detection Using Phase-Based Optical Flow and Unscented Kalman Filters,” Engineering Structures, (IF: 1.893), 132, 300–313.
Cha Y.J.†, Chen J., and Buyukozturk O., “Motion Magnification Based Damage Detection Using High Speed Video” 10th International Workshop On Structural Health Monitoring (IWSHM), Stanford, USA, September 1-3, 2015.
6. Motion magnification based structural modal identification and response measurement using a video
Chen J., Wadhwa N., Cha Y.J., Durand F., Freeman F., and Buyukozturk O†. (2015), “Modal identification of simple structures with high-speed video using motion magnification,” Journal of Sound and Vibration, 345: 58-71 (IF: 1.857).
http://newsoffice.mit.edu/2015/magnifying-vibrations-bridges-and-buildings-0423
5. Air-coupled impact-echo damage detection in concrete structures using wavelet transforms
Epp T.*, and Cha Y.J.†, (2017) “Air-coupled microphone based concrete structure damage detection using wavelet transforms,” Smart Materials and Structures 26(2) 025018(IF: 2.769).
4. Automated loosened bolt detection
Cha Y.J.†, You K.S.*, and Choi, W.* (2016), “Vision-based detection of loosened bolts using the Hough transform and support vector machines,” Automation in Construction, 71(2): 181-188 (IF:2.442).
3. Tall building monitoring and system identification
Cha Y.J.†, Trocha P., and Büyüköztürk, O. (2016), “Field measurement based system identification and dynamic response prediction of a unique MIT building,” Sensors MDPI,16(7), 1016 (IF: 2.033).
2. Damage localization and quantification using modal strain energy and advanced multi-objective optimization
Cha Y.J. and Büyüköztürk O†. (2015), “Structural Damage Detection Using Modal Strain Energy And Hybrid Multi-Objective Optimization,” Computer-Aided Civil and Infrastructure Engineering, 30:347-358 (IF: 5.625).
1. Quasi real-time detection of damage using DWT
