Intelligent Quality Assessment of Railway Switches and Crossings

Roberto Galeazzi is an Associate Professor of Control Theory and Technology. His main areas of research are fault diagnosis and failure prognosis for safety-critical systems. He researches methods and tools for the design of condition monitoring systems that can operate in real industrial contexts. His research displays a high level of multidisciplinarity, drawing from the scientific areas of system dynamics, estimation theory, signal processing, system identification, probabilistic learning, and change detection theory. The validity of his scientific approach has already been demonstrated for the operational safety of merchant and offshore vessels, as well as high-speed rotating machines.Hilmar K. Danielsen is a Senior Researcher with 15 years of experience in metallurgical research and the development of steels, working in close cooperation with international research groups as well as industry on an international level. His main research area is metallic components and structures for wind turbines and combines metallurgical characterization and mechanical testing, primarily for rolling contact fatigue in wind turbine bearing steels and rails. He has also been active in other fields, e.g. alloy development, high-temperature creep-resistant steels, and thermodynamic and kinetic modelling.Bjarne K. Ersbøll is a Professor of Statistics and Data Analysis. He has considerable experience in the application of these disciplines in industrial and medical projects. His research is largely inspired by finding solutions to real-world problems in industry – and often in collaboration with industry. In addition to his educational duties, he provides research-based consultancy on applied statistics and data analysis.Dorte Juul Jensen is a Professor of Materials Science and Advanced Characterization. Her main areas of research include plastic deformation and annealing of metallic materials; X-ray diffraction, electron microscopy, and neutron scattering characterization of materials; development of new characterization techniques, e.g. 4-dimensional microstructural mapping; and advanced manufacturing of metallic materials. Further, her work ranges from applied research (e.g. faults in rails, advanced steels for automotive, and aluminium for packaging) to basic science (presently financed via an ERC Advanced Grant on metal microstructures in 4 dimensions).Ilmar F. Santos is a Professor of Mechanical Engineering at the Technical University of Denmark. His main areas of research include dynamics and control of machines and structures, high-fidelity mathematical modelling based on multiphysics (virtual twins), contact mechanics, and tribology. His work ranges from applied research – focusing on the degradation of rail components due to the dynamic interaction with passing trains and aided by high-fidelity simulation models – to basic science on multibody dynamics, vibration monitoring and analysis, and contact mechanics.

• Design and Modelling.- Dynamic analysis of Train-Track-Substructure Interaction for Detection of Acceleration Sensitive Areas of a Rail.- Next Generation Switch and Crossing Systems.- Statistical Model of Railway’s Turnout Based on Train Induced Vibrations.-Metallurgical Characterization.- Damage and Microstructure of In-Field Loaded Railway Steel.- Metallurgical Investigation of Switches and Crossings.- Analysis of Rail Screw Failures.- Condition Monitoring and Asset Management.- Data Based Condition Monitoring and Prediction Analytics for Turnouts.- Monitoring of Switches and Crossings Using Smart Sensors.- Detecting Faults in Turnouts with the Track Recording Car.- Automatic Detection of Railway Failures from Images.- Fault Detection, Diagnosis and Prognosis of Point Operating Equipment.- Data Sources and Research Models for Turnouts.- The Effect of Tamping on Railway Track Geometry in Turnouts.- The Principles, Organization and Instrumentation of an Asset Management System.- Ways to Improve the Performance and Costs of Turnouts.