Springer Intelligent Quality Assessment of Railway Switches and Crossings (Springer Series in Reliability Engineering)

Product Description This book focuses on the latest scientific and technological advancements in the field of railway turnout engineering. It offers a holistic approach to the scientific investigation of the factors and mechanisms determining performance degradation of railway switches and crossings (S&Cs), and the consequent development of condition monitoring systems that will enable infrastructure managers to transition towards the implementation of predictive maintenance. The book is divided into three distinct parts. Part I discusses the modelling of railway infrastructure, including switch and crossing systems, while Part II focuses on metallurgical characterization. This includes the microstructure of in-field loaded railway steel and an analysis of rail screw failures. In turn, the third and final part discusses condition monitoring and asset management. Given its scope, the book is of interest to both academics and industrial practitioners, helping them learn about the various challenges characterizing this engineering domain and the latest solutions to properly address them. From the Back Cover This book focuses on the latest scientific and technological advancements in the field of railway turnout engineering. It offers a holistic approach to the scientific investigation of the factors and mechanisms determining performance degradation of railway switches and crossings (S&Cs), and the consequent development of condition monitoring systems that will enable infrastructure managers to transition towards the implementation of predictive maintenance. The book is divided into three distinct parts. Part I discusses the modelling of railway infrastructure, including switch and crossing systems, while Part II focuses on metallurgical characterization. This includes the microstructure of in-field loaded railway steel and an analysis of rail screw failures. In turn, the third and final part discusses condition monitoring and asset management. Given its scope, the book is of interest to both academics and industrial practitioners, helping them learn about the various challenges characterizing this engineering domain and the latest solutions to properly address them. About the Author 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