Researchers: Behzad Ghodrati
The term rolling stock originally referred to any vehicles that move on a railway. It usually includes both powered and unpowered vehicles, for example locomotives, railroad cars, coaches, and wagons. The rolling stock health condition is important for both passenger and freight trains in terms of safety, availability, punctuality and efficiency. The estimation and knowing the Remaining Useful Life (RUL) of rolling stock equipment is important and helps/leads to design, plan and perform various inspection and maintenance methodologies on these systems to fulfill the planned performance measures.
In this project different methods for RUL estimation are studied and classified in groups (e.g. Knowledge-based models, Life expectancy models, Artificial neural networks (ANN), and Physical models). Thereafter the best and applicable methods are selected and used in estimation of RUL of rolling stock used in Sweden railway.
The output of this project will be useful and used in the maintenance planning of rolling stock