Relational time-series classification method and system for corrosion maintenance dispatch

Abstract

Examples for relational time-series classification method for corrosion maintenance dispatch. A method may involve generating a self-organizing map for each parameter that corresponds to a group of aircraft. The self-organizing map organizes time-series data associated with a parameter into a two-dimensional representation. The method may further involve, for each map, identifying polar coordinates that represent a location of a particular node, in a grid of nodes within the self-organizing map, that is located closest to the time-series data organized in the two-dimensional representation. The method may then involve providing polar coordinates identified from each self-organizing map, along with indications of corrosion levels corresponding to the aircraft, as inputs into a classification model to train the classification model to determine trends between the parameters. The classification model is configured to subsequently use the one or more trends collectively to estimate a corrosion level for a particular aircraft.