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Yongchao Yang
Yongchao Yang
Assistant Professor, Department of Mechanical Engineering - Engineering Mechanics, Michigan Tech
Verified email at mtu.edu - Homepage
Title
Cited by
Cited by
Year
Blind identification of full-field vibration modes from video measurements with phase-based video motion magnification
Y Yang, C Dorn, T Mancini, Z Talken, G Kenyon, C Farrar, D Mascareņas
Mechanical Systems and Signal Processing 85, 567-590, 2017
3462017
Output-only modal identification with limited sensors using sparse component analysis
Y Yang, S Nagarajaiah
Journal of Sound and Vibration 332 (19), 4741-4765, 2013
1662013
Blind identification of damage in time-varying systems using independent component analysis with wavelet transform
Y Yang, S Nagarajaiah
mechanical systems and signal processing 47 (1-2), 3-20, 2014
1562014
CNN-LSTM deep learning architecture for computer vision-based modal frequency detection
R Yang, SK Singh, M Tavakkoli, N Amiri, Y Yang, MA Karami, R Rai
Mechanical Systems and signal processing 144, 106885, 2020
1502020
Time-frequency blind source separation using independent component analysis for output-only modal identification of highly damped structures
Y Yang, S Nagarajaiah
Journal of Structural Engineering 139 (10), 1780-1793, 2013
1422013
Modeling and harnessing sparse and low‐rank data structure: a new paradigm for structural dynamics, identification, damage detection, and health monitoring
S Nagarajaiah, Y Yang
Structural Control and Health Monitoring 24 (1), e1851, 2017
1222017
Output-only modal identification by compressed sensing: Non-uniform low-rate random sampling
Y Yang, S Nagarajaiah
Mechanical Systems and Signal Processing 56, 15-34, 2015
1192015
Blind identification of full-field vibration modes of output-only structures from uniformly-sampled, possibly temporally-aliased (sub-Nyquist), video measurements
Y Yang, C Dorn, T Mancini, Z Talken, S Nagarajaiah, G Kenyon, C Farrar, ...
Journal of Sound and Vibration 390, 232-256, 2017
1172017
Structural damage identification via a combination of blind feature extraction and sparse representation classification
Y Yang, S Nagarajaiah
Mechanical Systems and Signal Processing 45 (1), 1-23, 2014
1132014
Blind modal identification of output‐only structures in time‐domain based on complexity pursuit
Y Yang, S Nagarajaiah
Earthquake Engineering & Structural Dynamics 42 (13), 1885-1905, 2013
942013
Real-time output-only identification of time-varying cable tension from accelerations via complexity pursuit
Y Yang, S Li, S Nagarajaiah, H Li, P Zhou
Journal of Structural Engineering 142 (1), 04015083, 2016
932016
Harnessing data structure for recovery of randomly missing structural vibration responses time history: Sparse representation versus low-rank structure
Y Yang, S Nagarajaiah
Mechanical Systems and Signal Processing 74, 165-182, 2016
912016
Reference-free detection of minute, non-visible, damage using full-field, high-resolution mode shapes output-only identified from digital videos of structures
Y Yang, C Dorn, T Mancini, Z Talken, J Theiler, G Kenyon, C Farrar, ...
Structural Health Monitoring 17 (3), 514-531, 2018
772018
Robust data transmission and recovery of images by compressed sensing for structural health diagnosis
Y Yang, S Nagarajaiah
Structural Control and Health Monitoring 24 (1), e1856, 2017
592017
Dynamic imaging: real-time detection of local structural damage with blind separation of low-rank background and sparse innovation
Y Yang, S Nagarajaiah
Journal of Structural Engineering 142 (2), 04015144, 2016
592016
Blind denoising of structural vibration responses with outliers via principal component pursuit
Y Yang, S Nagarajaiah
Structural Control and Health Monitoring 21 (6), 962-978, 2014
592014
Augmented reality for next generation infrastructure inspections
DDL Mascarenas, JAP Ballor, OL McClain, MA Mellor, CY Shen, B Bleck, ...
Structural Health Monitoring 20 (4), 1957-1979, 2021
482021
Full-field, high-spatial-resolution detection of local structural damage from low-resolution random strain field measurements
Y Yang, P Sun, S Nagarajaiah, SM Bachilo, RB Weisman
Journal of Sound and Vibration 399, 75-85, 2017
412017
Estimation of full‐field, full‐order experimental modal model of cable vibration from digital video measurements with physics‐guided unsupervised machine learning and computer …
Y Yang, L Sanchez, H Zhang, A Roeder, J Bowlan, J Crochet, C Farrar, ...
Structural Control and Health Monitoring 26 (6), e2358, 2019
402019
Blind, simultaneous identification of full-field vibration modes and large rigid-body motion of output-only structures from digital video measurements
Y Yang, C Dorn, C Farrar, D Mascareņas
Engineering Structures 207, 110183, 2020
392020
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