| Monitoring of lateral and cross level track geometry irregularities through onboard vehicle dynamics measurements using machine learning classification algorithms A De Rosa, R Kulkarni, A Qazizadeh, M Berg, E Di Gialleonardo, ... Proceedings of the Institution of Mechanical Engineers, Part F: Journal of …, 2021 | 50 | 2021 |
| Investigating the effect of the equivalent conicity function's nonlinearity on the dynamic behaviour of a rail vehicle under typical service conditions R Kulkarni, A Qazizadeh, M Berg, B Dirks, I Persson Vehicle System Dynamics 60 (10), 3484-3503, 2022 | 24 | 2022 |
| Vehicle running instability detection algorithm (VRIDA): A signal based onboard diagnostic method for detecting hunting instability of rail vehicles R Kulkarni, A Qazizadeh, M Berg, U Carlsson, S Stichel Proceedings of the Institution of Mechanical Engineers, Part F: Journal of …, 2022 | 22 | 2022 |
| Fault detection and isolation method for vehicle running instability from vehicle dynamics response using machine learning R Kulkarni, A Qazizadeh, M Berg, S Stichel 11th International Conference on Railway Bogies and Running Gears, ZOBORY …, 2019 | 9 | 2019 |
| Unsupervised rail vehicle running instability detection algorithm for passenger trains (iVRIDA) R Kulkarni, A Qazizadeh, M Berg Measurement 216, 112894, 2023 | 8 | 2023 |
| Monitoring of Alignment Level (AL) and Cross Level (CL) track geometry irregularities from onboard vehicle dynamics measurements using probabilistic fault classifier R Kulkarni, A De Rosa, A Qazizadeh, M Berg, E Di Gialleonardo, ... The IAVSD International Symposium on Dynamics of Vehicles on Roads and …, 2021 | 8 | 2021 |
| iVRIDA: intelligent Vehicle Running Instability Detection Algorithm for high-speed rail vehicles using Temporal Convolution Network–A pilot study RR Kulkarni, RL Giossi, P Damsongsaeng, A Qazizadeh, M Berg PHM Society European Conference 7 (1), 269-277, 2022 | 3 | 2022 |
| Identification of vehicle response features for onboard diagnosis of vehicle running instability R Kulkarni, A Qazizadeh, M Berg 2022 IEEE International Conference on Prognostics and Health Management …, 2022 | 3 | 2022 |
| Onboard condition monitoring of vehicle-track dynamic interaction using machine learning: Enabling the railway industry’s digital transformation R Kulkarni KTH Royal Institute of Technology, 2023 | 2 | 2023 |
| Dynamic Modelling of the KTH Roller Rig DM Fraschini | 1 | 2021 |
| iVRIDA-fleet: unsupervised rail vehicle running instability detection algorithm for passenger vehicle fleet R Kulkarni, M Berg, A Qazizadeh, P Söderström, H Wheelwright, ... Vehicle System Dynamics 63 (2), 277-307, 2025 | | 2025 |
| Fault diagnosis of axlebox roller bearings of high speed rail vehicles based on empirical mode decomposition and machine learning J KEHLENBACH | | 2021 |
| Monitoring of lateral and cross level track geometry irregularities from onboard vehicle dynamics measurements using machine learning classification A De Rosa, R Kulkarni, A Qazizadeh, M Berg | | |
| iVRIDA: Intelligent Vehicle Running Instability Detection Algorithm for high-speed rail vehicles using sensor fusion and deep learning methods–A pilot study RR Kulkarni, RL Giossi, P Damsongsaeng, A Qazizadeh, M Berg 21st Nordic Seminar on Railway Technology, 10, 0 | | |
| Unsupervised Rail Vehicle Running Instability Detection Algorithm (Ivrida) R Kulkarni, A Qazizadeh, M Berg Available at SSRN 4255405, 0 | | |
