Rohan Kulkarni

Doctoral Student in Rail Vehicles Divison at Engineering Mechanics department. My doctoral research is focused on machine learning driven condition monitoring and predictive maintenance of the highspeed rail vehicles in Sweden.

Education

• 2016-2018 : MSc in Mechanical Engineering, KTH
• 2009-2013 : B.Tech in Mechanical Engineering, IIT Bhubaneswar

Research Interests

Railvehicle Dynamics, Data-driven condition monitoring, Predictive Maintenance, Digitalization of Rail Vehicle Maintenance

Funding Institutions and Industry Collaborators

KTH Railway Group, Shift2Rail, Trafikverket, SJ, CAF, Perpetuum

Academic Awards

• Best Paper Award in The Second International Conference on Rail Transportation organized by Southwest Jiaotong University, Chengdu, China. Brief Presentation

PhD Supervisor

Mats Berg,  Alireza Qazizadeh

PhD Research

Overview

• Track Irregularity Monitoring (TIM): Brief Presentation; Brief Presentation 2
• Vehicle Running Instabiltiy Monitoring (VRIM)
  • Intelligent Vehicle Running Instability Detection Algorithm (iVRIDA): Brief Presentation
  • Root Cause Identification of VRIM using Machine Learning: Brief Presentation

Project Descriptions

• RV29- Onboard condition monitoring of vehicle-track dynamic interaction

• RV36- Research into enhanced track and switch and crossing system 2 (IN2TRACK-2)

• RV32- Performance Improvement for Vehicles on Track (PIVOT-1 and PIVOT-2)

Other Research Projects

• Design and Development of Advanced Roller Rig (ARR)

• Fault Diagnosis and Isolation of Axlebox Bearing of Highspeed Railway

Previous Employment

• 2013 - 2016 : Defence R & D Organisation, Ministry of Defence, Govt. of India

Research Project:Design and Development of Advanced Towed Artillery Gun System for Indian Armed Forces