| An iterated cubature unscented Kalman filter for large-DoF systems identification with noisy data E Ghorbani, YJ Cha Journal of Sound and Vibration 420, 21-34, 2018 | 47 | 2018 |
| Hybrid output-only structural system identification using random decrement and Kalman filter E Ghorbani, O Buyukozturk, YJ Cha Mechanical Systems and Signal Processing 144, 106977, 2020 | 31 | 2020 |
| Bridge pier scour level quantification based on output-only Kalman filtering E Ghorbani, D Svecova, DJ Thomson, YJ Cha Structural Health Monitoring 21 (5), 2116-2135, 2022 | 9 | 2022 |
| Identification of large-scale systems with noisy data using an iterated cubature unscented Kalman filter E Ghorbani, YJ Cha Sensors and smart structures technologies for civil, mechanical, and …, 2018 | 6 | 2018 |
| Time‐varying reliability analysis based on hybrid Kalman filtering and probability density evolution E Ghorbani, SS Afshari, D Svecova, X Liang, YJ Cha Earthquake Engineering & Structural Dynamics 53 (3), 1326-1344, 2024 | 5 | 2024 |
| Analyzing the robustness of hybrid, output-only, Kalman filtering–based system identification method E Ghorbani, YJ Cha European Workshop on Structural Health Monitoring: Special Collection of …, 2021 | 3 | 2021 |
| Modal Analysis of a Beam Mass System using Time Varying Modal Analysis Methods H Pourshahsavari, E Ghorbani, M Keshmiri Modares Mechanical Engineering 13 (8), 42-56, 2013 | 3 | 2013 |
| Nonlinear Kalman filtering based damage quantification for civil infrastructure E Ghorbani | 2 | 2021 |
| Natural frequency extraction of a beam-moving mass system with periodic passages using its pseudo-natural frequencies E Ghorbani, M Keshmiri Journal of Mechanical Science and Technology 30, 2981-2986, 2016 | 2 | 2016 |
| Identification of pseudo-natural frequencies in a beam-moving mass system with periodic passages E Ghorbani, M Keshmiri Journal of Mechanical Science and Technology 29, 2729-2734, 2015 | 2 | 2015 |
| Physics-aware tuning of the unscented Kalman filter: statistical framework for solving inverse problems involving nonlinear dynamical systems and missing data E Ghorbani, Q Dollon, FP Gosselin Nonlinear Dynamics, 1-23, 2024 | 1 | 2024 |
| Bayesian Input-State-Parameter Inference of Hydrodynamic Bearings: From Partial Displacement Measurements to Force Reconstruction Q Dollon, E Ghorbani, F Gosselin Available at SSRN 4901981, 0 | | |
Youngjin ChaProfessor of Civil Engineering, University of Manitoba在 umanitoba.ca 的电子邮件经过验证
