Yongchao Yang
Yongchao Yang
Assistant Professor, Department of Mechanical Engineering, Michigan Technological University
Dirección de correo verificada de mtu.edu - Página principal
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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 Mascareñas
Mechanical Systems and Signal Processing 85, 567-590, 2017
1462017
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
1252013
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
1082013
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
1032014
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
852014
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
822015
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
692017
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
672017
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
672013
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
462018
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
462016
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
402016
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
402014
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
372016
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
332017
Data compression of structural seismic responses via principled independent component analysis
Y Yang, S Nagarajaiah
Journal of Structural Engineering 140 (7), 04014032, 2014
212014
Blind modal identification of output-only non-proportionally-damped structures by time-frequency complex independent component analysis
S Nagarajaiah, Y Yang
Smart Structures and Systems 15 (1), 81-97, 2015
202015
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
162017
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
152020
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
122019
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