Examensarbete: Carbon strip modelling using locomotive telemetry data

Carbon strip modelling using locomotive telemetry data Background For thread-braked freight locomotives, carbon strip wear and brake block wear are major maintenance concern. The condition of these components is critical for safe rail transport which in turn sets strict limits on the distance travelled between inspection.Hence, insight into the main driver affecting their lifespan would provide railway operators with valuable information to support condition-based or predictive maintenance. This would enable longer distance between inspection, better utilization of the components and less material waste. Most of Green Cargos electric locomotives have on-board systems that record the energy consumption and regeneration, current, voltage, speed and location. Key factors driving carbon strip wear and damage include the contact force in the carbon strip-catenary interface, power output, electrical arcing, and impacts from ice on the contact wire. Problem description, tasks and goals Use maintenance records to identify when the carbon strip was replaced. Combine telemetry data and maintenance data to model carbon strip wear. Perform field measurements of wear and crack-propagation on carbon strips. Compare the performance of different carbon strip thicknesses. Category to which this degree project corresponds the best: Vehicles Type of degree project (can be both) ☒ Master (20 weeks) ☒ Bachelor/Högskoleingenjör (10 weeks) Language for the thesis ☒ Swedish and/or ☒English Is Swedish a language requirement? ☒ No, but Swedish is a requirement for future employment. Possibility to work from our office ☒ Yes ☐ No Address: Hälsingegatan 49, 113 31 Stockholm Contact person Mattias Wang Role: Vehicle/Maintenance Engineer Please contact me if you have any questions: mattias.wang@greencargo.com