Publications by Rohan Kulkarni
Refereegranskade
Artiklar
[1]
Kulkarni, R., Qazizadeh, A. & Berg, M. (2023). Unsupervised rail vehicle running instability detection algorithm for passenger trains (iVRIDA). Measurement, 216, 112894-112894.
[2]
Kulkarni, R., Qazizadeh, A., Berg, M., Dirks, B. & Ingemar, P. (2021). Investigating the effect of the equivalent conicity function's nonlinearity on the dynamic behaviour of a rail vehicle under typical service conditions. Vehicle System Dynamics, 1-20.
[3]
Kulkarni, R. (2021). Vehicle running instability detection algorithm (VRIDA): A signal based onboard diagnostic method for detecting hunting instability of rail vehicles. Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit.
[4]
Rosa, A. D., Kulkarni, R., Qazizadeh, A., Berg, M., Gialleonardo, E. D., Faccinetti, A. & Bruni, S. (2020). Monitoring of lateral and cross level track geometry irregularities through onboard vehicle dynamics measurements using machine learning classification algorithms. Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit.
Konferensbidrag
[5]
Kulkarni, R., Giossi, R. L., Damsongsaeng, P., Qazizadeh, A., Berg, M. (2022). iVRIDA: intelligent Vehicle Running Instability Detection Algorithm for high-speed rail vehicles using Temporal Convolution Network : – A pilot study. In Proceedings of the 7th European Conference of the Prognostics and Health Management Society 2022. (pp. 269-277). PHM Society.
[6]
Kulkarni, R., Qazizadeh, A., Berg, M. (2022). Identification of vehicle response features for onboard diagnosis of vehicle running instability. In 2022 IEEE International Conference on Prognostics and Health Management (ICPHM). (pp. 52-57). Institute of Electrical and Electronics Engineers (IEEE).
[7]
Kulkarni, R., Rosa, A. D., Qazizadeh, A., Berg, M., Gialleonardo, E. D., Faccinetti, A., Bruni, S. (2021). Monitoring of Alignment Level (AL)and Cross Level (CL) track geometry irregularities from onboard vehicle dynamics measurements using probabilistic fault classifier. In Lecture Notes in Mechanical Engineering. Budapest.
[8]
Kulkarni, R., Qazizadeh, A., Berg, M., Stichel, S. (2019). Fault detection and isolation method for vehicle running instability from vehicle dynamics response using machine learning. In Proceedings of 11th International Conference on Railway Bogies and Running Gears (BOGIE'19). Budapest.
Icke refereegranskade
Avhandlingar
[9]
Kulkarni, R. (2023). Onboard condition monitoring of vehicle-track dynamic interaction using machine learning : Enabling the railway industry’s digital transformation (Doctoral thesis , KTH Royal Institute of Technology, Stockholm, TRITA-SCI-FOU 2023:19). Retrieved from https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-326616.
Övriga
[10]
Kulkarni, R., Berg, M., Qazizadeh, A., Söderström, P., Wheelwright, H., Vincent, D., Li, M. (). iVRIDA-fleet: Unsupervised rail vehicle runninginstability detection algorithm for passenger vehicle fleet. (Manuscript).
Senaste synkning med DiVA:
2023-06-06 00:33:00