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公开(公告)号:US11236695B2
公开(公告)日:2022-02-01
申请号:US16573109
申请日:2019-09-17
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Jin Shen , Jeffrey M. Hutmacher , Patricia M. Laskowsky , Dana J. Suttman , Iman Mohammadrezazadeh , Ruggero Scorcioni , Vincent DeSapio
Abstract: Methods and systems are provided for monitoring a fuel injector of an internal combustion engine. In one embodiment, a method includes: receiving a set of feature data, the feature data sensed from a fuel injector during a fuel injection event; processing, by a processor, the set of feature data with a decision tree model to generate a prediction of a fault status; and selectively generating, by the processor, a notification signal based on the prediction.
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公开(公告)号:US20200310420A1
公开(公告)日:2020-10-01
申请号:US16365434
申请日:2019-03-26
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Ruggero Scorcioni , Rajan Bhattacharyya
Abstract: An autonomous vehicle, system and method for operating the autonomous vehicle. The system includes a plurality of solution modules, a state module, a hypothesis resolver and a navigation module. The plurality of solution modules each provide a solution for a future state of an agent. The state module that provides an environmental state. The hypothesis resolver receives the environmental state and the plurality of solutions, selects a solution from the plurality of solutions based on the environmental state and determines a reward for the solution, the reward indicating a confidence level of the solution for the environmental state. The navigation module navigates the autonomous vehicle based on the selected solution.
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公开(公告)号:US20210079864A1
公开(公告)日:2021-03-18
申请号:US16573109
申请日:2019-09-17
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Jin Shen , Jeffrey M. Hutmacher , Patricia M. Laskowsky , Dana J. Suttman , Iman Mohammadrezazadeh , Ruggero Scorcioni , Vincent DeSapio
Abstract: Methods and systems are provided for monitoring a fuel injector of an internal combustion engine. In one embodiment, a method includes: receiving a set of feature data, the feature data sensed from a fuel injector during a fuel injection event; processing, by a processor, the set of feature data with a decision tree model to generate a prediction of a fault status; and selectively generating, by the processor, a notification signal based on the prediction.
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