Disclosed embodiments relate to reporting Electronic Control Unit (ECU) errors or faults to a remote monitoring server. Operations may include receiving operational data from a plurality of ECUs in the vehicle, the operational data being indicative of a plurality of runtime attributes of the plurality of ECUs; generating, through a machine learning process, a statistical model of the operational data; receiving live, runtime updates from the plurality of ECUs in the communications network of the vehicle; identifying an ECU error associated with an ECU in the communications network of the vehicle, the ECU error being determined by a comparison of the live, runtime updates with the statistical model of the operational data to identify at least one deviation from the operational data; and wirelessly sending a report to the remote monitoring server based on the live, runtime updates, the report identifying the ECU and the identified ECU error.
ORCHESTRATOR REPORTING OF PROBABILITY OF DOWNTIME FROM MACHINE LEARNING PROCESS
2021-09-16
Patent
Elektronische Ressource
Englisch
Orchestrator reporting of probability of downtime from machine learning process
Europäisches Patentamt | 2019
|Orchestrator reporting of probability of downtime from machine learning process
Europäisches Patentamt | 2022
|ORCHESTRATOR REPORTING OF PROBABILITY OF DOWNTIME FROM MACHINE LEARNING PROCESS
Europäisches Patentamt | 2020
|ORCHESTRATOR REPORTING OF PROBABILITY OF DOWNTIME FROM MACHINE LEARNING PROCESS
Europäisches Patentamt | 2024
|ORCHESTRATOR REPORTING OF PROBABILITY OF DOWNTIME FROM MACHINE LEARNING PROCESS
Europäisches Patentamt | 2022
|