Abstract: Systems and methods described herein relate to indicating a repair to perform on an asset based on historic data related to a repair on the asset and/or sensor data associated with the asset. An evaluate component aggregates information related an asset such as a repair performed or data from a sensor. A repair evaluation component indicates a repair to perform on the asset based on at least one of the data from the sensor or the information related to the asset. By utilizing asset-specific information and historical data, repair schedules for assets can be more accurate and thereby reducing untimely repairs.

Abstract: Method and system for managing a plurality of remote assets, such as a fleet mobile assets is provided. The method allows for collecting data regarding each of a plurality of remote assets. The collected data is used to develop historical information regarding actual usage of each remote asset. The information is distributed via a global information network.

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.

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.

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.

Abstract: A system and method for reducing the shop lime 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.

Abstract: A system and method for reducing the shop lime 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.

Abstract: Method and system for managing a plurality of remote assets, such as a fleet mobile assets is provided. The method allows for collecting data regarding each of a plurality of remote assets. The collected data is used to develop historical information regarding actual usage of each remote asset. The information is distributed via a global information network.

Abstract: An apparatus and method of predicting vehicle breakdown and operability includes monitoring at a monitoring station on-board systems parameter data transmitted from a vehicle from a remote location; determining whether any of the monitored data is out of a predetermined range; calculating trends for monitored data determined to be out of range; identifying any system fault; and predicting what vehicle system(s) must be corrected to avoid vehicle failure and when such system(s) are likely to fail unless corrected.