Review of Data Analytics for Condition Monitoring of Railway Track Geometry

Keyphrases

• Track Geometry 100%
• Condition Monitoring 100%
• Track Condition 100%
• Data Analytics 100%
• Railway Track Geometry 100%
• Track Degradation 100%
• Fault Prediction 100%
• In Tandem 50%
• Climate Change 50%
• Environmental Conditions 50%
• Track Quality 50%
• Maintenance Data 50%
• Artificial Neural Network 50%
• Bayesian Modeling 50%
• Big Other 50%
• Track Maintenance 50%
• Dynamic Measurement 50%
• Regular Inspection 50%
• Big Data 50%
• Behavior Prediction 50%
• Bayesian Regression 50%
• Operational Constraints 50%
• Maintenance Interventions 50%
• Track Geometry Parameters 50%
• Design Loading 50%
• Safety Requirements 50%
• Large Volumes of Data 50%
• Design Maintenance 50%
• Track Design 50%
• Statistical Machine Learning 50%
• Track Loading 50%
• Geometry Design 50%
• Degradation Behavior 50%
• Topographic Constraints 50%
• Degradation Fault 50%

Engineering

• Railway 100%
• Condition Monitoring 100%
• Learning System 50%
• Climate Change 50%
• Climatic Change 50%
• Artificial Neural Network 50%
• Big Data 50%
• Bayesian Model 50%