Results 11 to 20 of about 1,967 (202)

Ensemble model for rail surface defects detection.

open access: yesPLoS 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.
Hailang Li   +5 more
doaj   +4 more sources

Rail-STrans: A Rail Surface Defect Segmentation Method Based on Improved Swin Transformer

open access: yesApplied Sciences
With the continuous expansion of the transport network, the safe operation of high-speed railway rails has become a crucial issue. Defect detection on the surface of rails is a key part of ensuring the safe operation of trains.
Chenghao Si   +3 more
doaj   +3 more sources

An Improved YOLOv8 Algorithm for Rail Surface Defect Detection

open access: yesIEEE Access
To tackle the issues raised by detecting small targets and densely occluded targets in railroad track surface defect detection, we present an algorithm for detecting defects on railroad tracks based on the YOLOv8 model.
Yan Wang   +3 more
doaj   +2 more sources

The Rail Surface Defects Recognition via Operating Service Rail Vehicle Vibrations

open access: yesMachines, 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   +2 more sources

Rail Surface Defect Diagnosis Based on Image–Vibration Multimodal Data Fusion

open access: yesBig Data and Cognitive Computing
To address the challenges in existing multi-sensor data fusion methods for rail surface defect diagnosis, particularly their limitations in fully exploiting potential synergistic information among multimodal data and effectively bridging the semantic gap
Zhongmei Wang   +4 more
doaj   +2 more sources

INFLUENCE OF CONTACT STATE ON PROPAGATION PATH OF RAIL SURFACE CRACK

open access: yesJixie qiangdu, 2022
In order to investigate the formation mechanism of fishhook shaped spalling defect on rail surface, the fatigue calculation model of wheel/rail rolling contact was established and the prediction method of crack propagation path was proposed based on the ...
MENG RuiJun, ZHAO Rui, WEI XiaoGang
doaj   +2 more sources

Adaptive Filtering Method of MFL Signal on Rail Top Surface Defect Detection

open access: yesIEEE Access, 2021
Magnetic flux leakage (MFL) detection technology provides an effective method to conduct high-speed detection of the damage suffered by rail surface.
Kailun Ji   +4 more
doaj   +2 more sources

Correction: Ensemble model for rail surface defects detection

open access: yesPLOS ONE, 2023
[This corrects the article DOI: 10.1371/journal.pone.0268518.].
Hailang Li   +5 more
openaire   +4 more sources

Rail-5k: a Real-World Dataset for Rail Surface Defects Detection

open access: yesCoRR, 2021
This paper presents the Rail-5k dataset for benchmarking the performance of visual algorithms in a real-world application scenario, namely the rail surface defects detection task. We collected over 5k high-quality images from railways across China, and annotated 1100 images with the help from railway experts to identify the most common 13 types of rail
Zihao Zhang   +4 more
openaire   +2 more sources

On the Use of Microwave Holography to Detect Surface Defects of Rails and Measure the Rail Profile [PDF]

open access: yesSensors, 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. An experimental setup consisting of a two-coordinate electromechanical scanner and a radar with stepped frequency signal in the range from 22.2 ...
Andrey V. Zhuravlev   +4 more
openaire   +3 more sources

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