Integrated Computational Materials, Process and Product Engineering – IC-MPPE 2022

The presented work shows a hybrid model based and data driven condition monitoring approach for railway crossings. A virtual sensor concept is used to estimate the location and the length of the transition area. The transition area is a well-known crossing state indicator, which is evaluated by service technicians during visual inspections to rate the crossing condition. This feature can be additionally used to rate wheel profiles and thereby enable a whole system monitoring of rolling stock and track with a single monitoring concept. The monitoring concept is installed at two demonstrators and long-term data has been recorded over the last 2 years. The collected data set can be subsequently used to develop prediction models and thereby facilitate a condition-based maintenance strategy for the operators.