Abstract
In this paper, we present a condition-based maintenance decision method using
knowledge-based approach for rail surface defects. A railway track may contain a considerable number of surface defects which influence track maintenance decisions. The proposed method is based on two sets of maintenance decision factors i.e. (1) defect detection data and (2) prior knowledge of the track. A defect detection model is proposed to monitor surface defects of the track
including squats. The detection model relies on track images and Axle Box Acceleration (ABA) signals to give both positions of severity and defects. To acquire the prior knowledge, a set of track monitoring data is selected. A fuzzy inference model is proposed relying on the maintenance factors
to give the track health condition in a case study of the Dutch railway network. The proposed condition-based maintenance model enables infrastructure manager to prioritize critical pieces of the track based on the health condition.
knowledge-based approach for rail surface defects. A railway track may contain a considerable number of surface defects which influence track maintenance decisions. The proposed method is based on two sets of maintenance decision factors i.e. (1) defect detection data and (2) prior knowledge of the track. A defect detection model is proposed to monitor surface defects of the track
including squats. The detection model relies on track images and Axle Box Acceleration (ABA) signals to give both positions of severity and defects. To acquire the prior knowledge, a set of track monitoring data is selected. A fuzzy inference model is proposed relying on the maintenance factors
to give the track health condition in a case study of the Dutch railway network. The proposed condition-based maintenance model enables infrastructure manager to prioritize critical pieces of the track based on the health condition.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the First International Conference on Rail Transportation |
| Subtitle of host publication | ICRT2017 |
| Number of pages | 6 |
| Publication status | Published - 2017 |
| Event | 1st International Conference on Rail Transportation - Chengdu, China Duration: 10 Jul 2017 → 12 Jul 2017 Conference number: 1 |
Conference
| Conference | 1st International Conference on Rail Transportation |
|---|---|
| Abbreviated title | ICRT 2017 |
| Country/Territory | China |
| City | Chengdu |
| Period | 10/07/17 → 12/07/17 |
Keywords
- Condition-based maintenance decision
- Rail surface defects
- Bayesian model