A condition-based maintenance methodology for rails in regional railway networks using evolutionary multiobjective optimization
Case study line Braşov to Zărneşti in Romania
Alfredo Nunez (TU Delft - Railway Engineering)
Ali Jamshidi (TU Delft - Railway Engineering)
Hongrui Wang (TU Delft - Railway Engineering)
Jurjen Hendriks (TU Delft - Railway Engineering)
Ivan Ramirez Fonseca (TU Delft - Railway Engineering)
Jan Moraal (TU Delft - Railway Engineering)
Rolf Dollevoet (TU Delft - Railway Engineering)
Zili Li (TU Delft - Railway Engineering)
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Abstract
In this paper, we propose a methodology based on signal processing and evolutionary multiobjective optimization to facilitate the maintenance decision making of infra-managers in regional railways. Using a train in operation (with passengers onboard), we capture the condition of the rails using Axle Box Acceleration measurements. Then, using Hilbert-Huang Transform, the locations where the major risks are detected and ssessed with a degradation model. Finally,
evolutionary multiobjective optimization is employed to solve the maintenance decision problem, and to facilitate the visualization of the trade-offs between number of interventions and performance. Real-life measurements from the track from Braşov to Zărneşti in Romania are included to show the methodology.