| Online structural damage identification technique using constrained dual extended Kalman filter S Sen, B Bhattacharya Structural Control and Health Monitoring 24 (9), e1961, 2017 | 29 | 2017 |
| One-dimensional convolutional neural network-based damage detection in structural joints S Sharma, S Sen Journal of Civil Structural Health Monitoring 10 (5), 1057-1072, 2020 | 21 | 2020 |
| Seismic-induced damage detection through parallel force and parameter estimation using an improved interacting Particle-Kalman filter S Sen, A Crinière, L Mevel, F Cérou, J Dumoulin Mechanical Systems and Signal Processing 110, 231-247, 2018 | 14 | 2018 |
| Progressive damage identification using dual extended Kalman filter S Sen, B Bhattacharya Acta Mechanica 227 (8), 2099-2109, 2016 | 14 | 2016 |
| Uncertainty quantification using the particle filter for non-stationary hydrological frequency analysis S Sen, J He, KS Kasiviswanathan Journal of Hydrology 584, 124666, 2020 | 11 | 2020 |
| Stationary hydrological frequency analysis coupled with uncertainty assessment under nonstationary scenarios CT Vidrio-Sahagún, J He, KS Kasiviswanathan, S Sen Journal of Hydrology 598, 125725, 2021 | 7 | 2021 |
| Estimation of local failure in tensegrity using Interacting Particle-Ensemble Kalman Filter N Aswal, S Sen, L Mevel Mechanical Systems and Signal Processing 160, 107824, 2021 | 5 | 2021 |
| Correntropy based IPKF filter for parameter estimation in presence of non-stationary noise process S Sen, A Criniere, L Mevel, F Cérou, J Dumoulin IFAC-PapersOnLine 51 (24), 420-427, 2018 | 5 | 2018 |
| Bridge damage detection in presence of varying temperature using two-step neural network approach S Sharma, S Sen Journal of Bridge Engineering 26 (6), 04021027, 2021 | 4 | 2021 |
| A non-iterative structural damage identification methodology using state space eigenstructure assignment S Sen, B Bhattacharya Structure and Infrastructure Engineering 13 (2), 211-222, 2017 | 4 | 2017 |
| Non-iterative eigenstructure assignment technique for finite element model updating S Sen, B Bhattacharya Journal of Civil Structural Health Monitoring 5 (4), 365-375, 2015 | 4 | 2015 |
| Structural health monitoring with non-linear sensor measurements robust to unknown non-stationary input forcing S Sen, N Aswal, Q Zhang, L Mevel Mechanical Systems and Signal Processing 152, 107472, 2020 | 3 | 2020 |
| Design and health monitoring of tensegrity structures: An overview N Aswal, S Sen Reliability, Safety and Hazard Assessment for Risk-Based Technologies, 523-533, 2020 | 3 | 2020 |
| Non-Gaussian parameter estimation using generalized polynomial chaos expansion with extended Kalman filtering S Sen, B Bhattacharya Structural Safety 70, 104-114, 2018 | 3 | 2018 |
| Joint and Dual Estimation of States and Parameters with Extended and Unscented Kalman Filters N Aswal, B Bhattacharya, S Sen Recent Developments in Structural Health Monitoring and Assessment …, 2022 | 1 | 2022 |
| Robust Interacting Particle-Kalman Filter based structural damage estimation using dynamic strain measurements under non-stationary excitation-an experimental study N Aswal, E Kuncham, S Sen, L Mevel SHMII-10 2021–10th International Conference on Structural Health Monitoring …, 2021 | 1 | 2021 |
| Damage Detection in Presence of Varying Temperature Using Mode Shape and a Two-Step Neural Network S Sharma, S Sen Recent Advances in Computational Mechanics and Simulations, 285-299, 2020 | 1 | 2020 |
| Damage detection in presence of varying temperature through residual error modelling approach with dual neural network S Sharma, S Sen EWSHM 2018, Manchester, UK, 2018 | 1 | 2018 |
| Estimation of time varying system parameters from ambient response using improved Particle-Kalman filter with correlated noise S Sen, A Crinière, L Mevel, F Cerou, J Dumoulin EGU General Assembly Conference Abstracts, 15527, 2017 | 1 | 2017 |
| Estimation of Local Failure in Large Tensegrity Structures via Substructuring Using Interacting Particle-Ensemble Kalman Filter N Aswal, S Sen, L Mevel European Workshop on Structural Health Monitoring, 943-951, 2023 | | 2023 |
Baidurya BhattacharyaIndian Institute of Technology Kharagpurcivil.iitkgp.ac.in üzerinde doğrulanmış e-posta adresine sahip
