Results 121 to 130 of about 253,923 (206)

Can Anthropomorphic Interfaces Improve the Ergonomics and Safety Performance of Human-Machine Collaboration in Multitasking Scenarios?-An Example of Human-Machine Co-Driving in High-Speed Trains. [PDF]

Biomimetics (Basel)
Jiang Y, Zhi J.
europepmc   +1 more source

Accurate Identification Partial Discharge of Cable Termination for High-Speed Trains Based on S-Transform and Two-Dimensional Convolutional Network Algorithm. [PDF]

Sensors (Basel)
Xie Y, You P, Wu G, Zhang T, Luo Y, Zhou S, Liu K, Chen K, Xin D, Gao G.   +9 more
europepmc   +1 more source

Research on speed measurement technology for maglev trains based on multi-source information fusion

机车电传动
The speed and distance measurement is deemed core functions of the automatic protection system for maglev trains. The key requirement is to provide accurate, real-time, safe, and reliable speed information for overspeeding and overrunning protections ...
LUO Yongsheng, FAN Liang, LIU Ze, WANG Yeliu   +3 more
doaj  

Axial Impact Response of Carbon Fiber-Reinforced Polymer Structures in High-Speed Trains Based on Filament Winding Process. [PDF]

Materials (Basel)
Tian A, Sun K, Che Q, Jiang B, Song X, Guo L, Chen D, Xiao S.   +7 more
europepmc   +1 more source

Numerical simulation and theoretical study on the impact of wind-sand flow of high-speed trains in long tunnel space. [PDF]

Sci Rep
Li S, Dong S, Li Y, Zhou L.
europepmc   +1 more source

Corrosion Behavior of SMA490BW Steel and Welded Joints for High-Speed Trains in Atmospheric Environments. [PDF]

Materials (Basel), 2019
Wu X, Zhang Z, Qi W, Tian R, Huang S, Shi C.   +5 more
europepmc   +1 more source

Non-destructive evaluation method for track slabs damaged by impact of ice blocks detached from high-speed trains. [PDF]

Sci Rep
Song X, Fu X, Xiao D, Yi C.
europepmc   +1 more source

Wayside Detection of Wheel Minor Defects in High-Speed Trains by a Bayesian Blind Source Separation Method. [PDF]

Sensors (Basel), 2019
Liu XZ, Xu C, Ni YQ.
europepmc   +1 more source

Unsupervised anomaly detection for earthquake detection on Korea high-speed trains using autoencoder-based deep learning models. [PDF]

Sci Rep
Seo J, Kim Y, Ha J, Kwak D, Ko M, Yoo M.
europepmc   +1 more source

Numerical calculation of boundary layers and wake characteristics of high-speed trains with different lengths. [PDF]

PLoS One, 2017
Jia L, Zhou D, Niu J.
europepmc   +1 more source