STATE PREDICTION METHOD AND APPARATUS FOR RAILWAY SYSTEM COMPONENTS BASED ON HISTORIC DATA CLUSTERING

摘要

A method of predicting a state of a railway component according to an exemplary embodiment includes: collecting sensor data from a sensor that measures state-related data of each railway component to maintain a history database; Clustering the collected sensor data according to a predetermined criterion; Generating cluster history data by performing clustering based on the preset reference as the measured data from the sensor of the railway component is received in real time; And a step of deriving a plurality of proximate solutions by matching the clustered result generated by performing the clustering and the cluster history data and predicting a state change of the rail component by reclassing the derived plurality of proximate solutions Can be.