Results 21 to 30 of about 737,027 (223)

Developing Machine Learning-Based Models for Railway Inspection

open access: yesApplied Sciences, 2020
Smart railway maintenance is crucial to the safety and efficiency of railway operations. Successful deployment of technologies such as condition-based monitoring and predictive maintenance will enable railway companies to conduct proactive maintenance ...
Chunsheng Yang   +3 more
doaj   +1 more source

Near field enhancements from angled surface defects : a comparison of scanning laser source and scanning laser detection techniques [PDF]

open access: yes, 2011
Enhancement of the Rayleigh wave signal amplitude at a surface defect, due to interference of incident, reflected and mode converted waves, has been reported by several authors, and it has been suggested that this could be used as a fingerprint of the ...
Edwards, R. S. (Rachel S.)   +5 more
core   +1 more source

Ohio Hub passenger rail economic impact study [PDF]

open access: yes, 2007
Title from PDF cover (viewed on Jan. 9, 2008).; "May 2007."; Includes bibliographical references (p. G1-G2).; Harvested from the web on 1/8/08The purpose of this study is to measure both the demand and supply benefits by the development of the Ohio Hub ...
Ohio Rail Development Commission.
core   +2 more sources

Railway wheel-flat and rail surface defect modelling and analysis by time–frequency techniques [PDF]

open access: yes, 2013
Damage to the surface of railway wheels and rails commonly occurs in most railways. If not detected, it can result in rapid deterioration and possible failure of rolling stock and infrastructure components causing higher maintenance costs.
Liang, B.   +7 more
core   +1 more source

Image segmentation method of rail head defects and area measurement of selected segments [PDF]

open access: yesMATEC Web of Conferences
The operation safety of railway transport, which is the most important economic and social factor, is largely determined by the technical condition of the rail track and measures to maintain the quality of its track management system.
Tverdomed Volodymyr   +2 more
doaj   +1 more source

The Influence of Wheel/Rail Contact Conditions on the Microstructure and Hardness of Railway Wheels [PDF]

open access: yes, 2014
The susceptibility of railway wheels to wear and rolling contact fatigue damage is influenced by the properties of the wheel material (microstructure and hardness).
Bevan, Adam   +5 more
core   +1 more source

THE RESEARCH OF THE RAILWAY RAIL FOR ANALYSIS OF SURFACE INITIATED ROLLING CONTACT FATIGUE CRACKS

open access: yesMechanics and Advanced Technologies, 2020
Problems. Under the influence of dynamic loading from trains and natural conditions, the railway track deteriorates, characterized by the appearance of defects and residual deformations of the railway track, which lead to accelerated wear and malfunction
Pavlo Protsenko   +7 more
doaj   +1 more source

Ambient‐Stable Transparent P‐Type CuI Transistors Via Room‐Temperature Pulsed Laser Deposition

open access: yesAdvanced Functional Materials, EarlyView.
An in situ PLD fabricated AlOx${\rm AlO}_x$/CuI/AlOx${\rm AlO}_x$ sandwich structure enables stable CuI TFTs with a field‐effect mobility of 2.3 ±$\pm$ 0.7 cm2${\rm cm}^{2}$ V−1${\rm V}^{-1}$ s−1${\rm s}^{-1}$ and excellent ambient stability. Complementary inverters based on CuI:Rb and ZnO:Al exhibit rail‐to‐rail voltage transfer characteristics and an
Yang Chen   +5 more
wiley   +1 more source

Rail-to-ground Insulation Defect Diagnosis Method Based on Spatiotemporal Correlation of Rail Potential

open access: yesChengshi guidao jiaotong yanjiu
Objective The data of various monitoring points regarding rail potential as monitoring object is correlated in time and space, and the direct manifestation of changes in rail-to-rebar structural resistance is reflected in rail potential variation.
Weiguo PAN   +4 more
doaj   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

open access: yesAdvanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan   +4 more
wiley   +1 more source

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