| Vibration-based damage detection in wind turbine blades using Phase-based Motion Estimation and motion magnification A Sarrafi, Z Mao, C Niezrecki, P Poozesh Journal of Sound and vibration 421, 300-318, 2018 | 256 | 2018 |
| Feasibility of extracting operating shapes using phase-based motion magnification technique and stereo-photogrammetry P Poozesh, A Sarrafi, Z Mao, P Avitabile, C Niezrecki Journal of Sound and Vibration 407, 350-366, 2017 | 177 | 2017 |
| Multicamera measurement system to evaluate the dynamic response of utility‐scale wind turbine blades P Poozesh, A Sabato, A Sarrafi, C Niezrecki, P Avitabile, R Yarala Wind Energy 23 (7), 1619-1639, 2020 | 48 | 2020 |
| Modal parameter estimation from optically-measured data using a hybrid output-only system identification method P Poozesh, A Sarrafi, Z Mao, C Niezrecki Measurement 110, 134-145, 2017 | 41 | 2017 |
| Mode extraction on wind turbine blades via phase-based video motion estimation A Sarrafi, P Poozesh, C Niezrecki, Z Mao Smart materials and nondestructive evaluation for energy systems 2017 10171 …, 2017 | 41 | 2017 |
| A comparison of computer-vision-based structural dynamics characterizations A Sarrafi, P Poozesh, Z Mao Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2017 | 41 | 2017 |
| Streamlined particle filtering of phase-based magnified videos for quantified operational deflection shapes NA Valente, A Sarrafi, Z Mao, C Niezrecki Mechanical Systems and Signal Processing 177, 109233, 2022 | 23 | 2022 |
| Wind turbine blade damage detection via 3-dimensional phase-based motion estimation A Sarrafi, Z Mao 11th Int. Workshop Struct. Health Monit 10, 2017 | 23 | 2017 |
| Statistical modeling of wavelet-transform-based features in structural health monitoring A Sarrafi, Z Mao Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2016 | 21 | 2016 |
| Probabilistic uncertainty quantification of wavelet-transform-based structural health monitoring features A Sarrafi, Z Mao Health Monitoring of Structural and Biological Systems 2016 9805, 385-394, 2016 | 20 | 2016 |
| Uncertainty quantification framework for wavelet transformation of noise-contaminated signals A Sarrafi, Z Mao, M Shiao Measurement 137, 102-115, 2019 | 14 | 2019 |
| Structural operating deflection shape estimation via a hybrid computer-vision algorithm A Sarrafi, Z Mao Health monitoring of structural and biological systems XII 10600, 585-592, 2018 | 14 | 2018 |
| A multiple stereo-vision approach using three dimensional digital image correlation for utility-scale wind turbine blades P Poozesh, A Sabato, A Sarrafi, C Niezrecki, P Avitabile Proc. IMAC XXXVI 12, 2018 | 13 | 2018 |
| Uncertainty quantification of phase-based motion estimation on noisy sequence of images A Sarrafi, Z Mao Health monitoring of structural and biological systems 2017 10170, 567-574, 2017 | 12 | 2017 |
| Dynamic characteristics identification of an arch dam model via the phase-based video processing Q Li, G Wang, A Sarrafi, X Niu, W Lu, Z Mao KSCE Journal of Civil Engineering 25 (1), 140-152, 2021 | 11 | 2021 |
| Detection of natural frequency and mode shape correspondence using phase-based video magnification in large-scale structures A Sarrafi, P Poozesh, C Niezrecki, Z Mao Structural Health Monitoring, Photogrammetry & DIC, Volume 6: Proceedings of …, 2019 | 11 | 2019 |
| Mapping motion-magnified videos to operating deflection shape vectors using particle filters A Sarrafi, Z Mao Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6 …, 2019 | 9 | 2019 |
| Using 2D phase-based motion estimation and video magnification for binary damage identification on a wind turbine blade A Sarrafi, Z Mao Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2018 | 7 | 2018 |
| Applying video magnification for vision-based operating deflection shape evaluation on a wind turbine blade cross-section A Sarrafi, P Poozesh, C Niezrecki, Z Mao Health Monitoring of Structural and Biological Systems XII 10600, 197-208, 2018 | 7 | 2018 |
| Extracting high frequency operating shapes from 3D DIC measurements and phased-based motion magnified images P Poozesh, A Sarrafi, C Niezrecki, Z Mao, P Avitabile International Digital Imaging Correlation Society: Proceedings of the First …, 2017 | 7 | 2017 |
Zhu MaoWorcester Polytechnic Institute確認したメール アドレス: wpi.edu