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1.
公开(公告)号:US20230342656A1
公开(公告)日:2023-10-26
申请号:US17724539
申请日:2022-04-20
发明人: Bernard C. Robinson , Peter D. Schmitt , Jonathan Hirscher , Owen K. Tosh , Michael R. Story , Emilio Quaggiotto , Joachim J. Klesing , Andrew J. Frank
IPC分类号: G06N20/00 , B60W10/20 , G07C5/08 , B60W50/029
CPC分类号: G06N20/00 , B60W10/20 , B60W50/029 , G07C5/0808 , G07C5/0841 , B60W2510/20
摘要: A method for signal anomaly detection includes receiving at least one signal and determining, using at least one machine learning anomaly detection model, whether a value associated with the at least one signal is within a range of an expected value. The method also includes, in response to a determination that the value associated with the at least one signal is not within the range of the expected value, incrementing a counter, and, in response to a determination that a value of the counter is greater than or equal to a threshold value, identifying, based on the at least one signal, signal anomaly information. The method also includes communicating the signal anomaly information to a remote computing device, receiving, from the remote computing device, diagnostics information responsive to the signal anomaly information, and, in response to receiving the diagnostics information, initiating at least one corrective action procedure.
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公开(公告)号:US20230169802A1
公开(公告)日:2023-06-01
申请号:US18071892
申请日:2022-11-30
发明人: Bernard C. Robinson , Peter D. Schmitt , Andrew J. Frank , Jonathan Hirscher , Owen K. Tosh , Michael R. Story , Emilio Quaggiotto , Joachim J. Klesing
IPC分类号: G07C5/04
CPC分类号: G07C5/04
摘要: A method for vehicle analytics includes receiving data from at least one condition indicator sensor of a vehicle and receiving data from at least one usage indicator sensor of the vehicle. The method also includes updating a vehicle specific model corresponding to a vehicle master model, based on the data from the at least one condition indicator sensor and the at least one usage indicator sensor. The method also includes identifying, using the vehicle specific model, at least one usage trend of the vehicle and determining an estimate of a remaining useful life of at least one aspect of the vehicle based on the at least one usage trend of the vehicle.
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