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Published in 2021 at "Construction and Building Materials"
DOI: 10.1016/j.conbuildmat.2021.122713
Abstract: Abstract The main aim of conducted research is determination of temperature stresses due to the uneven temperature distribution in CWR. This paper presents a methodology for determination of temperature stresses in CWR based on (1)…
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Keywords:
temperature;
temperature stresses;
determination temperature;
rail surface ... See more keywords
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Published in 2021 at "Optik"
DOI: 10.1016/j.ijleo.2021.166732
Abstract: Abstract The surface rolling contact fatigue crack is a common crack on the rail surface. When it extends to a certain length, it will lead to rail fracture and affect the safety of railway operation.…
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Keywords:
surface;
crack;
quantitative detection;
rail surface ... See more keywords
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Published in 2018 at "Optics and Laser Technology"
DOI: 10.1016/j.optlastec.2017.09.020
Abstract: Abstract In this work, biomimetic laser treatment was performed on repairing and remanufacturing the nonuniform worn rail surface. The wearing depth distribution of three work regions of a failure rail surface was discussed, and different thickness hardening layers with different…
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Keywords:
remanufacturing nonuniform;
rail surface;
surface;
surfaces different ... See more keywords
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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2021.3138498
Abstract: Surface defects are usually the early phenomenon of rail failure, which threatens the safety of railroad transportation critically, and the timely detection of surface defects helps to eliminate the potential risk of rail and reduce…
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Keywords:
surface defects;
rail surface;
surface;
learning machine ... See more keywords
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Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3272033
Abstract: Rail surface defect inspection is of particular importance in modern railways. Accurate and efficient surface defect detection approaches support optimized maintenance. This enables the safe operation of the railway network. However, the scale and harsh…
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Keywords:
pixel level;
rail surface;
surface;
defect detection ... See more keywords
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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3189677
Abstract: This paper proposes a multi-source data fusion algorithm for rail surface defect detection in both camera-based rail inspection images and ultrasound B-scan images. First, we design a rail surface segmentation algorithm based on image bilateral…
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Keywords:
fusion;
rail;
rail surface;
defect detection ... See more keywords
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Published in 2017 at "IEEE Transactions on Plasma Science"
DOI: 10.1109/tps.2017.2705142
Abstract: In the process of launching the electromagnetic rail guns (EMRGs), the erosion damage to the rail surface is mainly caused by the joule heat generated by the rail body resistance and armature-rail contact resistance as…
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Keywords:
rail surface;
erosion damage;
temperature rise;
surface ... See more keywords
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Published in 2018 at "Mathematical Problems in Engineering"
DOI: 10.1155/2018/7012710
Abstract: Under the wheel/rail contact loading conditions, the microcracks on the rail surface propagate, leading to spalling defect or rail fracture and threatening the travelling safety of high-speed railway directly. In order to analyze the mechanism…
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Keywords:
mechanism;
rail surface;
rail;
spalling defect ... See more keywords
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Published in 2020 at "Acta Physica Polonica A"
DOI: 10.12693/aphyspola.137.644
Abstract: This paper reports about magnetic non-destructive evaluation of the rail surface exposed to long-time cyclic plastic deformation. Long-term severe plastic deformation and superimposing friction heating initiate pearlite matrix defragmentation and the corresponding refinement of magnetic…
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Keywords:
surface damage;
rail surface;
surface;
via magnetic ... See more keywords
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Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0268518
Abstract: The detection of rail surface defects is vital for high-speed rail maintenance and management. The CNN-based computer vision approach has been proved to be a strong detection tool widely used in various industrial scenarios. However,…
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Keywords:
surface defects;
rail;
rail surface;
detection ... See more keywords
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Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13106047
Abstract: When deep learning methods are used to detect rail surface defects, the training accuracy declines due to small defects and an insufficient number of samples. This paper investigates the problem of rail surface defect detection…
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Keywords:
network;
rail surface;
surface;
defect detection ... See more keywords