A UAV-Based Visual Inspection Method for Rail Surface Defects
Applied Sciences, 2018 Rail surface defects seriously affect the safety of railway systems. At present, human inspection and rail vehicle inspection are the main approaches for the detection of rail surface defects.
Yunpeng Wu +3 more
doaj +4 more sources
Research on steel rail surface defects detection based on improved YOLOv4 network. [PDF]
Front Neurorobot, 2023 IntroductionThe surface images of steel rails are extremely difficult to detect and recognize due to the presence of interference such as light changes and texture background clutter during the acquisition process.MethodsTo improve the accuracy of ...
Mi Z, Chen R, Zhao S.
europepmc +2 more sources
Correction: Ensemble model for rail surface defects detection. [PDF]
PLoS One, 2023 [This corrects the article DOI: 10.1371/journal.pone.0268518.].
Li H +5 more
europepmc +4 more sources
Ensemble model for rail surface defects detection. [PDF]
PLoS One, 2022 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.
Li H +5 more
europepmc +2 more sources
The Rail Surface Defects Recognition via Operating Service Rail Vehicle Vibrations
Machines, 2022 Rail surface defects will not only bring wheel rail noise during train operation, but also cause corresponding accidents. Most of the existing detection methods are manual detection, which is time-consuming, laborious, inefficient, and subjective.
Shubin Zheng +4 more
doaj +3 more sources
On the Use of Microwave Holography to Detect Surface Defects of Rails and Measure the Rail Profile
Sensors, 2019 The use of microwave holography for detecting rail surface defects is considered in this paper. A brief review of available sources on radar methods for detecting defects on metal surfaces and rails is given.
Andrey Zhuravlev +4 more
doaj +3 more sources
Deep Learning (Fast R-CNN)-Based Evaluation of Rail Surface Defects
Applied SciencesIn current railway rails, trains are propelled by the rolling contact between iron wheels and iron rails, and the high frequency of train repetition on rails results in a significant load exertion on a very small area where the wheel and rail come into ...
Jung-Youl Choi, Jae-Min Han
doaj +3 more sources
Detection and Classification System for Rail Surface Defects Based on Eddy Current. [PDF]
Sensors (Basel), 2021 Alvarenga TA +5 more
europepmc +2 more sources
Rail Surface Defect Detection Based on An Improved YOLOv5s
Applied Sciences, 2023 As the operational time of the railway increases, rail surfaces undergo irreversible defects. Once the defects occur, it is easy for them to develop rapidly, which seriously threatens the safe operation of trains.
Hui Luo, Lianming Cai, Chenbiao Li
doaj +1 more source
An Improved Feature Pyramid Network and Metric Learning Approach for Rail Surface Defect Detection
Applied Sciences, 2023 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.
Zhendong He +4 more
doaj +1 more source