Titlebook: Digital Railway Infrastructure; Diogo Ribeiro,Pedro Aires Montenegro,Maria D. Mart Book 2024 The Editor(s) (if applicable) and The Author(

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Zur Systematisierung der Rückstellungsartenmodels as feature extractors is conducted. The use of a regression-based method such as Multivariate Linear Regression (MLR) or a latent variable method such as Principal Component Analysis (PCA) grants the strategy the ability to remove environmental and operational effects and proves the importanc

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Rücktritte von politischen ?mternnfrastructures, e.g., kilometres-long railway tracks. However, there are numerous challenges that limit the applicability of drive-by, such as the short duration of sample segments and the masking of infrastructure-induced vibrations by much larger vehicle-induced measurements. This chapter presents

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Türkisch-Islamische Synthese II – 1960–1980comes apparent, particularly for the public sector. The establishment of an open standard, exemplified by the Industrial Foundation Classes (IFC), emerges as an imperative stride toward fostering sustainable information utilization. This standardized approach not only bolsters interoperability but a

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Advanced Numerical Simulation of Dynamic Behavior of Railway Infrastructure Under Extreme Conditiontion as the most general form. Corresponding simulation models are established by theoretical approaches of vehicle-track coupled dynamics and finite element method, etc. Based on the dynamics models, the extreme conditions, such as crosswind, seismic motion, extreme temperature, and severe soil def

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Applications of Low-Cost and Smart Mobile Devices for Railway Infrastructure Performance Assessmentormance assessment and characterization is presented, mainly focusing of the use of low-cost and/or mobile IMUs as condition monitoring systems. A case study is also presented on measurements from a smartphone to evaluate accelerations inside a passenger train on an 11?km stretch. Among other aspect

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