Titlebook: Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certifi; 5th International Co Birgit Milius,Si

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Jan Gruteser,David Gele?us,Michael Leuschel,Jan Ro?bach,Fabian Vu

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Anne E. Haxthausen,Alessandro Fantechi,Gloria Gori,óli Kárason Mikkelsen,Sofie-Amalie Petersen

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Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certifi5th International Co

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Remaining Useful Life Estimation for Railway Gearbox Bearings Using Machine Learningion models for prediction. The proposed method has been validated using real-world gearbox data provided by our industrial partner, Alstom Transport AB in Sweden. The results are promising, particularly with respect to the predicted failure time. Our model predicted the failure to occur on day 330,

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The SafeCap Trajectory: Industry-Driven Improvement of?an?Interlocking Verification Toolcts and, as a result of this, was formally approved for use in the UK railway. We believe this experience will be useful for the developers of formal verification methods, tools and technologies to be deployed in industry.

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Automated Compositional Verification of?Interlocking Systemsull network has been divided into a number of sub-networks of minimal size, each being an instance of one of a limited set of “elementary networks”, for which safety proofs have easily been given by model checking once for all. The paper defines a division algorithm, and shows how, applying it to so