Abstract: Computerized method and system for identification and evaluation of a repair likely to prevent a failure of a mobile asset is provided. The method allows collecting data indicative of an incipient malfunction in the mobile asset (e.g., 1006). The method further allows collecting usage data indicative of usage of the mobile asset (e.g., 1002). The usage data is processed relative to historical data collected from a fleet of corresponding mobile assets to generate a usage profile for that asset (e.g., 1004). The data indicative of incipient malfunctions is processed to generate a prediction of a failure in the mobile asset and at least one repair likely to prevent the failure of the mobile asset (e.g., 1010). A repair weight indicative of a probability that the repair will prevent the predicted failure is determined (e.g., 466). The repair weight is adjusted based on the usage profile of the asset (e.g.

Abstract: A system and method for reducing the shop time of a vehicle, e.g., a locomotive, at a maintenance facility by obtaining onboard systems parameter data during a period when the vehicle is inbound to the maintenance facility for required periodic scheduled maintenance, and by determining, at the maintenance facility and prior to arrival of the vehicle at the maintenance facility, from the data received from the inbound vehicle, whether any of the data is out of a predetermined range or is trending to be out of range.