Abstract: A system, method, and computer program product for predicting failure of a vehicle system or subsystem by using statistical analysis of prior maintenance messages and vehicle failures, such that the predictions of failures may be incorporated into a vehicle monitoring and reporting system. Maintenance message data and vehicle system or subsystem failure data are collected from a central maintenance computer of a vehicle, such as an aircraft. This maintenance message and vehicle system or subsystem failure data are analyzed to discern relationships between maintenance messages and vehicle system or subsystem failures which will enable future failures to be predicted. By predicting future failures, maintenance can be performed in time to prevent the vehicle failure and thereby avoid unnecessary costs and unscheduled interruptions of vehicle operations.

Abstract: The system and associated method for monitoring a vehicle receives data, which may be fault data and/or prognostic data, associated with operation of the vehicle, such as via a data gathering element. In addition, at least one user preference is applied to the data, such as via a customization element, and at least a portion of the data is presented, such as via a display element. The user preference(s) may be an alerting preference, which includes alerting the user one the data reaches a predetermined threshold, a prioritization preference, which includes prioritizing the data based upon historical data, and/or a data delivery preference, which includes delivering the data to one or more locations.

Abstract: The system and associated method for monitoring a vehicle receives data, which may be fault data and/or prognostic data, associated with operation of the vehicle, such as via a data gathering element. In addition, at least one user preference is applied to the data, such as via a customization element, and at least a portion of the data is presented, such as via a display element. The user preference(s) may be an alerting preference, which includes alerting the user one the data reaches a predetermined threshold, a prioritization preference, which includes prioritizing the data based upon historical data, and/or a data delivery preference, which includes delivering the data to one or more locations.