Abstract: As disclosed, a method for generating predictive maintenance indicators for a vehicle may include generating a vehicle model defining systems of the vehicle, each of the systems including one or more system functions; determining, for each system function, an anomaly algorithm based on a signal set associated with each system function; and generating a signal anomaly detection model based on the plurality of vehicle system functions, associated signal sets, and anomaly algorithms. The method may include monitoring signal data and evaluating the signal data to determine signal anomalies present in one or more system functions; determining an anomaly score; and continue updating the anomaly score until a maintenance action is identified to be performed. The method may then include updating the vehicle model in response to the maintenance action; generating predictive indicators based on the signal anomalies and changes in the signal data after performance of the identified maintenance action.

Abstract: A system and method for implementing an autonomous distress tracking (ADT) triggering function is provided.

Abstract: A method for determining a probabilistic loss of function of a system includes the steps of determining a plurality of failure mode probabilities, ranking a plurality of functions pertaining to the failure mode probabilities, and identifying a likely function at least substantially lost by the system based at least in part on the plurality of failure mode probabilities and the ranking.

Abstract: A method for determining a probabilistic loss of function of a system includes the steps of determining a plurality of failure mode probabilities, ranking a plurality of functions pertaining to the failure mode probabilities, and identifying a likely function at least substantially lost by the system based at least in part on the plurality of failure mode probabilities and the ranking.

Abstract: A method for diagnostic reasoning of faults appearing in a vehicle health monitoring system (VHM) is provided. One of alternatively a signal mode or a failure mode state is identified based on an input. If a signal is identified, the signal is queried to determine if the signal indicts a failure mode. If the signal indicts the failure mode, an intermittent watch flag is set for the failure mode. A count representing a number of occurrences of the signal as an intermittent fault is incremented. It is determined if the count exceeds a predetermined threshold. If the count exceeds the predetermined threshold, the intermittent fault is determined to be a permanent fault.

Abstract: A health monitoring system includes a first monitoring unit configured to monitor health status indicators of a subject system; and a second monitoring unit configured to monitor the health status indicators of the subject system upon receiving a transfer signal.