標(biāo)題: Titlebook: Digital Railway Infrastructure; Diogo Ribeiro,Pedro Aires Montenegro,Maria D. Mart Book 2024 The Editor(s) (if applicable) and The Author( [打印本頁(yè)] 作者: grateful 時(shí)間: 2025-3-21 16:59
書(shū)目名稱Digital Railway Infrastructure影響因子(影響力)
作者: Prostaglandins 時(shí)間: 2025-3-21 22:15 作者: Invigorate 時(shí)間: 2025-3-22 00:36 作者: jabber 時(shí)間: 2025-3-22 07:27 作者: Agility 時(shí)間: 2025-3-22 11:51
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作者: maudtin 時(shí)間: 2025-3-22 15:39
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作者: maudtin 時(shí)間: 2025-3-22 18:26
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作者: 激怒 時(shí)間: 2025-3-22 23:10
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作者: Palatial 時(shí)間: 2025-3-23 04:45
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作者: 不透明 時(shí)間: 2025-3-23 06:58 作者: ARCH 時(shí)間: 2025-3-23 12:07 作者: Conduit 時(shí)間: 2025-3-23 15:51 作者: STENT 時(shí)間: 2025-3-23 20:31 作者: 細(xì)菌等 時(shí)間: 2025-3-24 02:15
Engineering the Future: A Deep Dive into Remote Inspection and Reality Capture for Railway Infrastrality capture technologies, addressing challenges and charting future research. This holistic approach caters to the railway sector‘s expanding needs, ensuring safe and effective infrastructure management.作者: TAIN 時(shí)間: 2025-3-24 02:57
Book 2024 and maintenance of railway infrastructures. These strategies involve the development and application of new technologies and methodologies to enhance the sustainability and resilience of railway infrastructures particularly under extreme climate and operational events. In particular, the digital tr作者: disrupt 時(shí)間: 2025-3-24 07:33
2731-7269 nted reality in monitoring and maintenance of railway infras.?..This book describes the most recent strategies for the digitalization of railway sector that bring new challenges for the construction, operation, and maintenance of railway infrastructures. These strategies involve the development and 作者: Accord 時(shí)間: 2025-3-24 12:35 作者: 粗糙 時(shí)間: 2025-3-24 15:42
Applications of Different Forms of Mixed Reality in the Maintenance of Railway Infrastructures,ector. Finally, future potential development based on the previous findings is highlighted to sketch a possible working framework for creating a Virtual Reality Adaptive Learning Tool. Our research, thereby, shows how long-term strategic educational policies can impact the performance of the railway ecosystem.作者: connoisseur 時(shí)間: 2025-3-24 22:29
https://doi.org/10.1007/978-3-031-49589-2Virtual Reality; digital twins; UAVs; railways; BIM; digital technologies; condition monitoring; remote ins作者: CRACY 時(shí)間: 2025-3-25 02:11
978-3-031-49591-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: Nonconformist 時(shí)間: 2025-3-25 07:14
https://doi.org/10.1007/978-3-658-13285-9 physical–mechanical property and dynamic behavior show inevitable complexity, degradation and insecurity under vehicular, structural and environmental effects, etc. To reveal the dynamic performance of railway infrastructure accurately and efficiently subject to extreme conditions, numerical simula作者: 策略 時(shí)間: 2025-3-25 11:22 作者: 陶瓷 時(shí)間: 2025-3-25 13:34 作者: predict 時(shí)間: 2025-3-25 16:23
VI. Die Bestimmung des Rückstellungsbetragesaintenance where future deterioration is anticipated. Similar to most concrete structures, they are exposed to various types of degradation or distress as a result of design or construction errors, accidental loadings, or environmental effects. Identifying any signs of distress through periodic insp作者: 移植 時(shí)間: 2025-3-25 23:33
Zur Systematisierung der Rückstellungsartensystems. 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作者: Irrepressible 時(shí)間: 2025-3-26 00:37 作者: 易改變 時(shí)間: 2025-3-26 04:32
Rücktritte von politischen ?mternransportation 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作者: HARP 時(shí)間: 2025-3-26 11:44
Rücktritte von politischen ?mternse 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作者: CARK 時(shí)間: 2025-3-26 12:59 作者: 自作多情 時(shí)間: 2025-3-26 19:22
Türkisch-Islamische Synthese III – nach 1980nment for both reducing the cost of training programmes and improving and supporting maintenance operations. Based on some railway applications’ reflections, the paper analyses how the application of extended (XR) and mixed reality (MR) solutions could bring substantial benefits to companies in impr作者: 高度贊揚(yáng) 時(shí)間: 2025-3-27 00:52
Türkisch-Islamische Synthese II – 1960–1980wever, is not uniform across all sectors, necessitating a closer look at its application, particularly in the domain of railway infrastructure. In this context, the establishment and dissemination of digital models enriched with federated data stand as a critical requirement, fostering seamless info作者: 疾馳 時(shí)間: 2025-3-27 04:01 作者: Alopecia-Areata 時(shí)間: 2025-3-27 06:27
Digital Railway Infrastructure978-3-031-49589-2Series ISSN 2731-7269 Series E-ISSN 2731-7277 作者: Cougar 時(shí)間: 2025-3-27 10:08
Diogo Ribeiro,Pedro Aires Montenegro,Maria D. MartPresents advanced simulations for studying the behaviour of railway infrastructure under extreme conditions.Explores the use of AI and augmented reality in monitoring and maintenance of railway infras作者: 使迷醉 時(shí)間: 2025-3-27 17:36 作者: 送秋波 時(shí)間: 2025-3-27 20:19 作者: Archipelago 時(shí)間: 2025-3-28 01:57 作者: jettison 時(shí)間: 2025-3-28 05:09
https://doi.org/10.1007/978-3-663-02900-7rch bridge located in high-speed railway. Also a bridge load monitoring system using intelligent bearings that measure the reaction force, angle of rotation and temperature is presented. The developed monitoring system makes it possible to automatically distinguish dynamic changes occurring from tra作者: insomnia 時(shí)間: 2025-3-28 09:59
VI. Die Bestimmung des Rückstellungsbetragesormance 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作者: 環(huán)形 時(shí)間: 2025-3-28 13:25 作者: scotoma 時(shí)間: 2025-3-28 18:40
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作者: syncope 時(shí)間: 2025-3-28 22:16 作者: 食品室 時(shí)間: 2025-3-29 02:19
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作者: GIDDY 時(shí)間: 2025-3-29 06:09 作者: 討好女人 時(shí)間: 2025-3-29 09:30 作者: 鄙視讀作 時(shí)間: 2025-3-29 14:25
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作者: Saline 時(shí)間: 2025-3-29 17:20
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作者: 咯咯笑 時(shí)間: 2025-3-29 23:36 作者: Glaci冰 時(shí)間: 2025-3-30 03:57
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作者: 過(guò)多 時(shí)間: 2025-3-30 06:03
