Graphical methods for railway track condition assessment and prognostics

This paper presents graphical methods for monitoring, diagnostics, and prognostics of the condition of railway infrastructure as support to maintenance planning. The paper also uses graphics to aid univariate, bivariate and multivariate analyses of large datasets of secondary data for linear asset condition assessment in the temporal and spatial domains. We present graphical methods useful for evaluating how the asset degrades and how maintenance actions affect the track condition within different time horizons. Hence, the infrastructure manager and the contracted entrepreneur can share a common view of the asset’s current and future condition, as well as maintenance effectiveness.
Samordnad, effektiv planering av järnvägsinfrastrukturunderhåll