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defects
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Predictive modeling of the rail grinding process using a distributed cutting grain approach
Research on deep learning method for rail surface defect detection
Quantitative monitoring of brittle fatigue crack growth in railway steel using acoustic emission
RESIDUAL RESOURCE STUDY OF DEFECTIVE RAILS FOR TYPE P 50 CYCLE TEST OF ENDURANCE
A hybrid predictive methodology for head checks in railway infrastructure
The dynamic behaviour of a wheel flat of a railway vehicle and rail irregularities
Holistic procedure for rail maintenance in Sweden
Rail Surface Defect Detection Based on MobileViTv2 and Eddy Current
Condition Monitoring Opportunities Using Vehicle-Based Sensors
Enhancing the Federal Railroad Administration's Oversight of Track Safety Inspections