Abstract: A method, apparatus, system, and computer program product for managing a platform. A computer system generates a training dataset comprising historical metric values from historical sensor information for a set of metrics for a part and historical maintenance events for the part. The computer system trains a machine learning model using the training dataset. The computer system determines different maintenance thresholds for maintenance parameters for a metric in the set of metrics for performing maintenance on the part using the machine learning model trained with the training dataset. The computer system selects maintenance thresholds for the maintenance parameters from the maintenance thresholds meeting an objective to form a maintenance plan. The maintenance plan is used to determine when a maintenance action is needed for the part.

Abstract: In an example, a method for identifying associated events in an aircraft is described. The method includes obtaining sensor data, obtaining fault code data, generating a set of events, where each event occurs over a time interval over which either (i) the sensor data indicates an anomalous measurement or (ii) a fault code associated with a particular aircraft subsystem of the aircraft was signaled, calculating a value of statistical dependence between the set, based on the value exceeding a threshold, constructing a network representing the set as a sequence of related events and further representing a temporal order in which the sequence occurred, indexing, in a summary table stored in memory and separate from the sensor data and the fault code data, the sequence and the value, and controlling a display device to display the summary table and a visual representation of the network.

Abstract: In an example, a method for identifying associated events in an aircraft is described. The method includes obtaining sensor data, obtaining fault code data, generating a set of events, where each event occurs over a time interval over which either (i) the sensor data indicates an anomalous measurement or (ii) a fault code associated with a particular aircraft subsystem of the aircraft was signaled, calculating a value of statistical dependence between the set, based on the value exceeding a threshold, constructing a network representing the set as a sequence of related events and further representing a temporal order in which the sequence occurred, indexing, in a summary table stored in memory and separate from the sensor data and the fault code data, the sequence and the value, and controlling a display device to display the summary table and a visual representation of the network.