A method includes, at a first level manager, receiving vehicle data from a plurality of vehicles, aggregating the vehicle data, determining a first variable associated with the plurality of vehicles based on the aggregated vehicle data, and transmitting the aggregated vehicle data to a second level manager. The second level manager is in a higher hierarchical level than the first level manager. The method further includes, at a second level manager, determining a second variable based on the received aggregated vehicle data, determining whether the first and second variable conform to a predetermined dependency among the variables, and identifying an anomaly based on the determination.
Multivariate Hierarchical Anomaly Detection
2022-11-24
Patent
Electronic Resource
English
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