Robust and predictive fuzzy key performance indicators for condition-based treatment of squats in railway infrastructures

This paper presents a condition-based treatment methodology for a type of rail surface defect called squat. The proposed methodology is based on a set of robust and predictive fuzzy key performance indicators. A fuzzy Takagi-Sugeno interval model is used to predict squat evolution for different scenarios over a time horizon. Models including...

Influencing factors for condition-based maintenance in railway tracks using knowledge-based approach

In this paper, we present a condition-based maintenance decision method using<br/>knowledge-based approach for rail surface defects. A railway track may contain a considerable number of surface defects which influence track maintenance decisions. The proposed method is based on two sets of maintenance decision factors i.e. (1) defect detection...