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Rohan Kulkarni
Rohan Kulkarni
Email verificata su kth.se - Home page
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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
382021
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
172022
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
142022
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
82021
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
72019
Unsupervised rail vehicle running instability detection algorithm for passenger trains (iVRIDA)
R Kulkarni, A Qazizadeh, M Berg
Measurement 216, 112894, 2023
42023
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
32022
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
32022
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
12023
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, 1-31, 2024
2024
Fault diagnosis of axlebox roller bearings of high speed rail vehicles based on empirical mode decomposition and machine learning
J KEHLENBACH
2021
Dynamic Modelling of the KTH Roller Rig
DM Fraschini
2021
Unsupervised Rail Vehicle Running Instability Detection Algorithm (Ivrida)
R Kulkarni, A Qazizadeh, M Berg
Available at SSRN 4255405, 0
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