中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

10 records (took 0.017 seconds)

    Methods and systems for estimating a remaining useful life of an asset
    3.
    发明授权
    Methods and systems for estimating a remaining useful life of an asset 有权

    公开(公告)号：US12189383B2

    公开(公告)日：2025-01-07

    申请号：US17446708

    申请日：2021-09-01

    Applicant: Ford Global Technologies, LLC

    Inventor： Devesh Upadhyay ,  Huanyi Shui ,  Dimitar Filev

    IPC: G05B23/02 ,  G07C5/00 ,  G07C5/08

    Abstract: Methods and systems are provided for monitoring a health of a vehicle component. In one embodiment, a method is provided, comprising dividing a population of vehicles of a connected vehicle population into a plurality of vehicle classes; for each vehicle class of the plurality of vehicle classes, training a class-specific model of the vehicle class to predict a health status variable of a vehicle component included in the vehicle class based on labelled data from historic databases and calibration data; and for each vehicle class of the plurality of vehicle classes, using a first Federated Learning strategy to request local model data from each vehicle of a plurality of vehicles of the vehicle class; receive the local model data from the plurality of vehicles; update the class-specific model based on the received local model data; and send updated parameters of the class-specific model to vehicles included in the vehicle class.

    Methods and systems for anomaly detection of a vehicle
    5.
    发明授权
    Methods and systems for anomaly detection of a vehicle 有权

    公开(公告)号：US11914358B2

    公开(公告)日：2024-02-27

    申请号：US17446707

    申请日：2021-09-01

    Applicant: Ford Global Technologies, LLC

    Inventor： Devesh Upadhyay ,  Huanyi Shui ,  Dimitar Filev

    IPC: G05B23/02 ,  G07C5/00 ,  H04W4/44

    CPC classification number: G05B23/0283 ,  G05B23/0224 ,  G07C5/006 ,  H04W4/44

    Abstract: Methods and systems are provided for increasing an accuracy of anomaly detection in assets such as vehicle components. In one example, a method provides for continuous health monitoring of connected physical assets, comprising adapting thresholds for anomaly detection and root cause analysis algorithms for the connected assets based on an aggregation of new connected data using machine learning; updating and ranking advanced statistical and machine learning models based on their performance using connected data until confirming a best performing model; and deploying the best performing model to monitor the connected physical assets.

    Systems And Methods For Personalized Route Prediction
    6.
    发明公开
    Systems And Methods For Personalized Route Prediction 审中-公开

    公开(公告)号：US20230228582A1

    公开(公告)日：2023-07-20

    申请号：US17648051

    申请日：2022-01-14

    Applicant: Ford Global Technologies, LLC

    Inventor： Fling Finn Tseng ,  Shiqi Qiu ,  Dimitar Filev ,  Johannes Geir Kristinsson ,  Nikhil Jamdade ,  Swati Rawat ,  Kalyani Sonawane ,  Himanshu Verma ,  Bhagyashri Katti

    IPC: G01C21/34 ,  G06N20/00

    CPC classification number: G01C21/3484 ,  G06N20/00 ,  G01C21/3492

    Abstract: This disclosure describes systems and methods for personalized route prediction. An example method may include receiving, at a first time, first input data associated with a first route traversed by a vehicle. The example method may also include populating a first database with the input data. The example method may also include receiving, at a third time, second input data associated with a second route traversed by the vehicle. The example method may also include comparing the second input data to the first input data included within the first database. The example method may also include determining, based on the comparison, a first cluster including the first data and the second input data or a second cluster including the second input data. The example method may also include populating a second database based on the first cluster or the second cluster. The example method may also include determining, using the first database and at a second time, at least one of: predicted departure data, predicted destination data, and/or predicted route data. The example method may also include causing, based on the predicted departure data, predicted destination data, and/or predicted route data, to perform an action in association with the vehicle.

    METHODS AND SYSTEMS FOR ESTIMATING A REMAINING USEFUL LIFE OF AN ASSET
    8.
    发明申请
    METHODS AND SYSTEMS FOR ESTIMATING A REMAINING USEFUL LIFE OF AN ASSET 有权

    公开(公告)号：US20230068432A1

    公开(公告)日：2023-03-02

    申请号：US17446708

    申请日：2021-09-01

    Applicant: Ford Global Technologies, LLC

    Inventor： Devesh Upadhyay ,  Huanyi Shui ,  Dimitar Filev

    IPC: G05B23/02 ,  G07C5/00 ,  G07C5/08

    Abstract: Methods and systems are provided for monitoring a health of a vehicle component. In one embodiment, a method is provided, comprising dividing a population of vehicles of a connected vehicle population into a plurality of vehicle classes; for each vehicle class of the plurality of vehicle classes, training a class-specific model of the vehicle class to predict a health status variable of a vehicle component included in the vehicle class based on labelled data from historic databases and calibration data; and for each vehicle class of the plurality of vehicle classes, using a first Federated Learning strategy to request local model data from each vehicle of a plurality of vehicles of the vehicle class; receive the local model data from the plurality of vehicles; update the class-specific model based on the received local model data; and send updated parameters of the class-specific model to vehicles included in the vehicle class.

    METHODS AND SYSTEMS FOR ANOMALY DETECTION OF A VEHICLE
    9.
    发明申请
    METHODS AND SYSTEMS FOR ANOMALY DETECTION OF A VEHICLE 有权

    公开(公告)号：US20230063601A1

    公开(公告)日：2023-03-02

    申请号：US17446707

    申请日：2021-09-01

    Applicant: Ford Global Technologies, LLC

    Inventor： Devesh Upadhyay ,  Huanyi Shui ,  Dimitar Filev

    IPC: G05B23/02 ,  H04W4/44 ,  G07C5/00

    Abstract: Methods and systems are provided for increasing an accuracy of anomaly detection in assets such as vehicle components. In one example, a method provides for continuous health monitoring of connected physical assets, comprising adapting thresholds for anomaly detection and root cause analysis algorithms for the connected assets based on an aggregation of new connected data using machine learning; updating and ranking advanced statistical and machine learning models based on their performance using connected data until confirming a best performing model; and deploying the best performing model to monitor the connected physical assets.

Patent Agency Ranking