Results 11 to 20 of about 1,967 (202)
Ensemble model for rail surface defects detection.
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
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
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An Improved YOLOv8 Algorithm for Rail Surface Defect Detection
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
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
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
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
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
[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
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]
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

