Patents by Inventor GWENAELLE CHERAMY

GWENAELLE CHERAMY has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11716339
    Abstract: An integrated vehicle health management (IVHM) system to resolve equipment-fault related anomalies detected by cyber intrusion detection system (IDS). A benefit of the present system is that it can result in fewer alerts that need manual analysis. A combination of cyber and monitoring with integrated vehicle health management (IVHM) may be a high value differentiator. As a solution gets more mature through a learning loop, it may be customized for different customers in a cost-effective manner, something that might be expensive to develop on their own for most original equipment manufacturers (OEMs). An IVHM symptom pattern recognition matrix may link a pattern of reported symptoms to known equipment failures. This matrix may be initialized from the vehicle design data but its entries may get updated by a learning loop that improves a correlation by incorporating results of investigations.
    Type: Grant
    Filed: July 29, 2022
    Date of Patent: August 1, 2023
    Assignee: Garrett Transportation I Inc.
    Inventors: Tim Felke, Rajneesh Kumar, Balaji Arumugam, Gwenaelle Cheramy
  • Publication number: 20220385680
    Abstract: An integrated vehicle health management (IVHM) system to resolve equipment-fault related anomalies detected by cyber intrusion detection system (IDS). A benefit of the present system is that it can result in fewer alerts that need manual analysis. A combination of cyber and monitoring with integrated vehicle health management (IVHM) may be a high value differentiator. As a solution gets more mature through a learning loop, it may be customized for different customers in a cost-effective manner, something that might be expensive to develop on their own for most original equipment manufacturers (OEMs). An IVHM symptom pattern recognition matrix may link a pattern of reported symptoms to known equipment failures. This matrix may be initialized from the vehicle design data but its entries may get updated by a learning loop that improves a correlation by incorporating results of investigations.
    Type: Application
    Filed: July 29, 2022
    Publication date: December 1, 2022
    Inventors: Tim Felke, Rajneesh Kumar, Balaji Arumugam, Gwenaelle Cheramy
  • Patent number: 11444959
    Abstract: An integrated vehicle health management (IVHM) system to resolve equipment-fault related anomalies detected by cyber intrusion detection system (IDS). A benefit of the present system is that it can result in fewer alerts that need manual analysis. A combination of cyber and monitoring with integrated vehicle health management (IVHM) may be a high value differentiator. As a solution gets more mature through a learning loop, it may be customized for different customers in a cost effective manner, something that might be expensive to develop on their own for most original equipment manufacturers (OEMs). An IVHM symptom pattern recognition matrix may link a pattern of reported symptoms to known equipment failures. This matrix may be initialized from the vehicle design data but its entries may get updated by a learning loop that improves a correlation by incorporating results of investigations.
    Type: Grant
    Filed: November 13, 2019
    Date of Patent: September 13, 2022
    Assignee: Garrett Transportation I Inc.
    Inventors: Tim Felke, Rajneesh Kumar, Balaji Arumugam, Gwenaelle Cheramy
  • Publication number: 20210258327
    Abstract: An integrated vehicle health management (IVHM) system to resolve equipment-fault related anomalies detected by cyber intrusion detection system (IDS). A benefit of the present system is that it can result in fewer alerts that need manual analysis. A combination of cyber and monitoring with integrated vehicle health management (IVHM) may be a high value differentiator. As a solution gets more mature through a learning loop, it may be customized for different customers in a cost effective manner, something that might be expensive to develop on their own for most original equipment manufacturers (OEMs). An IVHM symptom pattern recognition matrix may link a pattern of reported symptoms (e.g., anomalies) to known equipment failures (electrical connections, sensors, controllers, known cyber-attacks, and so on). This matrix may be initialized from the vehicle design data but its entries may get updated by a learning loop that improves a correlation by incorporating results of investigations.
    Type: Application
    Filed: November 13, 2019
    Publication date: August 19, 2021
    Inventors: TIM FELKE, RAJNEESH KUMAR, BALAJI ARUMUGAM, GWENAELLE CHERAMY