Print Email Facebook Twitter Probabilistic defect-based risk assessment approach for rail failures in railway infrastructure Title Probabilistic defect-based risk assessment approach for rail failures in railway infrastructure Author Jamshidi, A. (TU Delft Railway Engineering) Faghih Roohi, S. (TU Delft Team Bart De Schutter) Nunez, Alfredo (TU Delft Railway Engineering) Babuska, R. (TU Delft OLD Intelligent Control & Robotics) De Schutter, B.H.K. (TU Delft Team Bart De Schutter) Dollevoet, R.P.B.J. (TU Delft Railway Engineering) Li, Z. (TU Delft Railway Engineering) Contributor Acarman, Tankut (editor) Date 2016 Abstract This paper develops a defect-based risk analysis methodology for estimating rail failure risk. The methodology relies on an evolution model addressing the severity level of rail surface defect, called squat. The risk of rail failure is assessed by analyzing squat failure probability using a probabilistic analysis of the squat cracks. For this purpose, a Bayesian inference method is employed to capture a robust model of squat failure probability when the squat becomes severe. Moreover, an experimental correlation between squat visual length and squat crack depth is obtained in order to define four severity categories. Relying on the failure probability and the severity categories of the squats, risk of future failure is categorized in three different scenarios (optimistic, average and pessimistic). To show the practicality and efficiency of the proposed methodology, a real example is illustrated. Subject imbalance datasemi-supervised learningrail image datarail defect detection To reference this document use: http://resolver.tudelft.nl/uuid:af5ee6f4-718b-4f41-820c-65e752408e3d DOI https://doi.org/10.1016/j.ifacol.2016.07.013 Publisher Elsevier, Laxenburg, Austria Source IFAC-PapersOnLine: Proceedings of the 14th IFAC Symposium on Control in Transportation Systems (CTS 2016), 49-3 Event 14th IFAC Symposium on Control in Transportation Systems, 2016-05-18 → 2016-05-20, ITU Faculty of Architecture, Istanbul, Turkey Series IFAC-PapersOnLine, 2405-8963, 49 (3) Part of collection Institutional Repository Document type conference paper Rights © 2016 A. Jamshidi, S. Faghih Roohi, Alfredo Nunez, R. Babuska, B.H.K. De Schutter, R.P.B.J. Dollevoet, Z. Li Files PDF TurkeyCTS2016_A_Jamshidi.pdf 293.44 KB Close viewer /islandora/object/uuid:af5ee6f4-718b-4f41-820c-65e752408e3d/datastream/OBJ/view