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AssigneeAppliedEA, Inc.
InventorsYehoshua Mordechai Segal, Ryan Conrad Kohl
Estimating the term…
Machine learning based methods for vehicle maintenance are disclosed. In one aspect, there is a method that includes uploading a flight dataset. The flight dataset includes timestamped vectors of kinematic and behavioral sensor data elements acquired by on-board sensors. The method further includes assigning each timestamped vector of the flight dataset to a kinematic cluster. The method further includes identifying behavioral sensor data that is anomalous for the assigned kinematic cluster of the timestamped vector. The method further includes generating an alert criticality score for each combination of kinematic cluster and behavioral sensor with anomalous sensor data.
1-20. (canceled)
A system, comprising:
The system of claim 23, wherein each timestamped vector further comprises a vehicle type, a version number, an engine type, and/or an identifier.
The system of claim 26, wherein the training of the machine learning model comprises applying a clustering method.
The system of claim 28, wherein the clustering method further comprises a k-means clustering algorithm or a hierarchical clustering algorithm.
The system of claim 30, wherein a distribution of the behavioral sensor value for the corresponding kinematic cluster has a Gaussian distribution, and wherein the normalized threshold corresponds to a z-score of two standard deviations.
A computer-implemented method comprising:
A non-transitory computer-readable medium storing instructions, which when executed by at least one data processor, result in operations comprising:
Dependencies are inferred from the claim text.