1. A method for analyzing operational parameter data from a locomotive to correct and/or prevent locomotive malfunctions, the method comprising: receiving a set of operational parameter data from the locomotive; identifying a plurality of distinct anomaly definitions in the set of operational parameter data; generating at least one distinct anomaly cluster from the plurality of distinct anomaly definitions; and associating with said anomaly cluster at least one repair for correcting and/or preventing occurrence of the locomotive malfunction.