Results 81 to 90 of about 257 (180)

A Study on Railway Surface Defects Detection Based on Machine Vision. [PDF]

Entropy (Basel), 2021
Bai T, Gao J, Yang J, Yao D.
europepmc   +1 more source

The semi-analytic solution to the magnetic field of frequency-band-selecting eddy current testing for local corrosion flaw in large diameter pipeline. [PDF]

Sci Prog, 2023
Fu K, Chen P, Yu Y, Li R, Fan Y, Sun C, Liu B.   +6 more
europepmc   +1 more source

Structural Integrity Assessment of Concrete Sleepers by Modal Test Technique. [PDF]

Materials (Basel), 2023
Choi JY, Shin TH, Kim SH, Chung JS.
europepmc   +1 more source

Feasibility of Digital Image Correlation for Fatigue Cracks Detection under Dynamic Loading. [PDF]

Sensors (Basel), 2021
Bardakov VV, Marchenkov AY, Poroykov AY, Machikhin AS, Sharikova MO, Meleshko NV.   +5 more
europepmc   +1 more source

Possibility of High-Speed Ultrasonic Detection of the Internal Material Defects in Rails. [PDF]

Materials (Basel)
Chałko L, Antolik Ł, Rucki M, Trochta M.   +3 more
europepmc   +1 more source

Model for Detecting Flaws in Railway Rails using Machine Learning

, 2019
Jernbaneselskap ansvarlige for infrastrukturen til jernbanen hyrer inspeksjonsfirmaer til å inspisere skinnene for å finne defekter. Inspeksjonsfirmaene bruker tog til å skanne skinnene ved hjelp av ultralyd i relativt høye hastigheter. Deretter utfører jernbaneselskapene manuelle inspeksjoner av de antatte defektene, fordi den initielle inspeksjonen ...
openaire   +1 more source

Research on geometric parameter quantification of rail rolling contact fatigue crack damage based on 2D optical image. [PDF]

Sci Rep
Wang Y, Miao B, Zhang Y, Huang Z.
europepmc   +1 more source

A multi-scale adaptive framework for high-precision rail track damage detection via StarNet and bidirectional feature pyramid network. [PDF]

Sci Rep
Pang Y, Wang X, Tang Y, Lou B, Ning L, Xiong H, Teng X, Yuan Q, Bao C, Chen J, Gu G.   +10 more
europepmc   +1 more source

Acoustic and Ultrasonic Sensing Technology in Non-Destructive Testing. [PDF]

Sensors (Basel)
Castiñeira-Ibáñez S, Tarrazó-Serrano D, Rubio C.   +2 more
europepmc   +1 more source

Discussing on how to improve the subway rail flaw detection quality [PDF]

Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017), 2018
Wei Wang, Gang Li, Jiangping Cao, Haiwei Xu   +3 more
openaire   +1 more source