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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書目名稱Digital Railway Infrastructure影響因子(影響力)




書目名稱Digital Railway Infrastructure影響因子(影響力)學科排名




書目名稱Digital Railway Infrastructure網(wǎng)絡(luò)公開度




書目名稱Digital Railway Infrastructure網(wǎng)絡(luò)公開度學科排名




書目名稱Digital Railway Infrastructure被引頻次




書目名稱Digital Railway Infrastructure被引頻次學科排名




書目名稱Digital Railway Infrastructure年度引用




書目名稱Digital Railway Infrastructure年度引用學科排名




書目名稱Digital Railway Infrastructure讀者反饋




書目名稱Digital Railway Infrastructure讀者反饋學科排名

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Railway Bridges Health Monitoring Supported by Artificial Intelligence,systems. To achieve this goal, an innovative data-driven Artificial Intelligence (AI)-based methodology is proposed, consisting of a combination of time series analysis and advanced multivariate statistical techniques for an unsupervised learning approach. Different combinations of techniques are im

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Condition Monitoring of Rolling Stock Supported by Artificial Intelligence Technique,echnologies. The main goal of this research is to provide an unsupervised method for identifying railway wheel flats. The two-step procedure based on the automatic damage identification algorithm evaluates the acceleration on rails during the passage of traffic loads. The first step consists of asse

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Drive-By Methodologies for Smart Condition Monitoring of Railway Infrastructure,ransportation infrastructure in the last four decades. Sensor-based condition monitoring identifies damage sensitive features from measurements. While the vast majority of condition monitoring research relies on dedicated and stationary sensor positioning, there is an emerging paradigm with so calle

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Digital Twins for Condition Assessment of Railway Infrastructures,se structures are subjected to deterioration processes; therefore, their structural performance tends to decay over time, contributing to risk events occurrence, such as component failure. Thus, the integrity management and condition assessment of railway infrastructure is crucial, requiring prevent

Palatial

Augmented Asset Management in Railways,ment in resources, technology, and expertise. Augmented asset management is an emerging concept that leverages advanced technologies such as AI and digitalisation to optimise asset utilisation, reduce costs, improve operational efficiency, enhance and safety. Asset management in railways is increasi

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