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title: 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT)
Rail Surface Defect Recognition and Classification Method Based on Deep Forest
Rail Surface Defect Recognition and Classification Method Based on Deep Forest
Fatigue Life Assessment of Rail Transit Electronics Based on Physics of Failure
Fatigue Life Assessment of Rail Transit Electronics Based on Physics of Failure
Rail Surface Defect Recognition and Classification Method Based on Deep Forest
Fatigue Life Assessment of Rail Transit Electronics Based on Physics of Failure
The failure prediction and life assessment method based on physics of failure (PoF) approach has been more widely
...
Turnout Health Assessment Based on Dynamic Time Warping
Turnout Health Assessment Based on Dynamic Time Warping
Fault Diagnosis of Railway Turnout Based on Random Forests
Fault Diagnosis of Railway Turnout Based on Random Forests
Study on Fault Diagnosis for Bearing Based on Hierarchical Extreme Learning Machine
Target Tracking for High-Speed Railway Catenary Based on Correlation Filtering Algorithm
Switch Machine Fault Diagnosis Method Based on Kalman Filter and Support Vector Machines
Switch machines are used for operating railway turnout; its error can cause delays, increase operating costs and
...Turnout Health Assessment Based on Dynamic Time Warping
Turnouts are vital components in the rail system. Assessing the healthy state of turnout and ensuring normal
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Fault Diagnosis of Railway Turnout Based on Random Forests
Leveraging UAVs for Rapid and Hierarchical Railway Intrusion Detection
The normalized and rapid intrusion detection of the railway operation environment is of great significance for
...