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NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Composite cab fronts high speed train

Reinforced Plastics, 2004
openaire   +1 more source

Integrated methodology for correlating dynamic parameters with wheel wear progression in a scaled railway system. [PDF]

MethodsX
Sandoval-Valencia TE, Hurtado-Hurtado G, Morales-Velázquez L, Ruiz-Robles D, Jáuregui-Correa JC.   +4 more
europepmc   +1 more source

Optimized Model Predictive Controller Using Multi-Objective Whale Optimization Algorithm for Urban Rail Train Tracking Control. [PDF]

Biomimetics (Basel)
Wang L, Wang L, Chen Y.
europepmc   +1 more source

The influence of different inter-car fairing structures on the aerodynamic performance of high-speed trains under crosswind conditions. [PDF]

Sci Rep
Zhuang S, Zou Y, Li J, Li Y, Yang W, Zhang L, Sun J, Wan Y, Sheng A.   +8 more
europepmc   +1 more source

Enhanced power capture for the wind turbine system via a novel second-order nonsingular fast terminal sliding mode control strategy. [PDF]

Sci Rep
Shalbafian A, Amiri F.
europepmc   +1 more source

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A novel wake flow control method for drag reduction of a high-speed train with vortex generators installing on streamlined tail nose

The Physics of Fluids, 2023
The head/tail of a high-speed train has been designed in a streamlined way to achieve good aerodynamic performance, which leads to the flow separation point moving close to the tail nose tip.
Jie Zhang, Fengyi Huang, Yizheng Yu, Shuai Han, Yansi Ding, Guang-jun Gao   +5 more
semanticscholar   +1 more source

Significance Support Vector Machine for High-Speed Train Bearing Fault Diagnosis

IEEE Sensors Journal, 2023
Wheelset bearing is the most critical component in High-Speed Train (HST) and crucial for HST safe and efficient operation. As a wide applying method for bearing health monitoring, Support Vector Machine (SVM) may easily lead to overfitting due to giving
Bing Sun, Xiaofeng Liu
semanticscholar   +1 more source

Harvesting Wind Energy by a Triboelectric Nanogenerator for an Intelligent High-Speed Train System

, 2021
The operation cost of an intelligent high-speed train system is greatly increased by the enormous energy demand of large-scale signal and sensor networks.
Chuguo Zhang, Yuebo Liu, Baofeng Zhang, Ou Yang, Wei Yuan, Lixia He, Xuelian Wei, Jie Wang, Zhong Lin Wang   +8 more
semanticscholar   +1 more source