Prediction of wheel and rail wear under different contact conditions using artificial neural networks

Physics & Astronomy

• rails 100%
• wheels 96%
• predictions 45%
• profilometers 14%
• replicas 11%
• profiles 9%
• yaw 7%
• comfort 7%
• field tests 7%
• economy 7%
• maintenance 5%
• engineers 5%
• planning 5%
• education 5%
• costs 4%
• operators 3%
• output 3%

Engineering & Materials Science

• Rails 71%
• Wheels 67%
• Wear of materials 61%
• Neural networks 51%
• Derailments 7%
• Derivatives 4%
• Engineers 3%
• Planning 3%
• Testing 2%
• Costs 2%

Chemistry

• Wear 78%
• Error 4%