A magnetic flux leakage inversion model for rail white etching layer thickness integrating physical mechanism and data-driven approaches

Key Points

• The model successfully estimates the rail white etching layer thickness, enhancing maintenance practices.
• Key metric shows a significant correlation with the actual layer thickness in tested rails.
• Analysis includes both physical mechanisms and data-driven techniques to achieve accurate estimations.
• This novel approach may streamline rail maintenance protocols, yet further field validation is advised.