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    Virtual sensor supervised learning for cyber-attack neutralization
    42.
    发明授权
    Virtual sensor supervised learning for cyber-attack neutralization 有权

    公开(公告)号：US11729190B2

    公开(公告)日：2023-08-15

    申请号：US16666807

    申请日：2019-10-29

    Applicant: GENERAL ELECTRIC COMPANY

    Inventor： Subhrajit Roychowdhury ,  Masoud Abbaszadeh ,  Mustafa Tekin Dokucu

    IPC: G06F21/00 ,  H04L9/40 ,  G06F18/214 ,  G06F18/21

    CPC classification number: H04L63/1425 ,  G06F18/214 ,  G06F18/2185 ,  H04L63/1416 ,  H04L63/1433 ,  H04L63/1458 ,  H04L63/1466

    Abstract: An industrial asset may have monitoring nodes that generate current monitoring node values. A dynamic, resilient estimator may split a temporal monitoring node space into normal and one or more abnormal subspaces associated with different kinds of attack vectors. According to some embodiments, a neutralization model is constructed and trained for each attack vector using supervised learning and the associated abnormal subspace. In other embodiments, a single model is created using out-of-range values for abnormal monitoring nodes. Responsive to an indication of a particular abnormal monitoring node or nodes, the system may automatically invoke the appropriate neutralization model to determine estimated values of the particular abnormal monitoring node or nodes (e.g., by selecting the correct model or using out-of-range values). The series of current monitoring node values from the abnormal monitoring node or nodes may then be replaced with the estimated values.

    Transfer learning/dictionary generation and usage for tailored part parameter generation from coupon builds
    44.
    发明授权
    Transfer learning/dictionary generation and usage for tailored part parameter generation from coupon builds 有权

    公开(公告)号：US11609549B2

    公开(公告)日：2023-03-21

    申请号：US17360790

    申请日：2021-06-28

    Applicant: General Electric Company

    Inventor： Subhrajit Roychowdhury ,  Alexander Chen ,  Xiaohu Ping ,  John Erik Hershey

    IPC: G05B19/4099 ,  B33Y50/00 ,  B29C64/386 ,  B29C64/153 ,  B22F10/20 ,  B22F10/30

    Abstract: According to some embodiments, system and methods are provided comprising receiving, via a communication interface of a part parameter dictionary module comprising a processor, geometry data for a plurality of geometric structures forming a plurality of parts, wherein the parts are manufactured with an additive manufacturing machine; determining, using the processor of the part parameter dictionary module, a feature set for each geometric structure; generating, using the processor of the part parameter dictionary module, one of a coupon and a coupon set for the feature set; generating an optimized parameter set for each coupon, using the processor of the part parameter dictionary module, via execution of an iterative learning control process for each coupon; mapping, using the processor of the part parameter dictionary module, one or more parameters of the optimized parameter set to one or more features of the feature set; and generating a dictionary of optimized scan parameter sets to fabricate geometric structures with a material used in additive manufacturing. Numerous other aspects are provided.

    DYNAMIC, RESILIENT VIRTUAL SENSING SYSTEM AND SHADOW CONTROLLER FOR CYBER-ATTACK NEUTRALIZATION
    47.
    发明申请
    DYNAMIC, RESILIENT VIRTUAL SENSING SYSTEM AND SHADOW CONTROLLER FOR CYBER-ATTACK NEUTRALIZATION 有权

    公开(公告)号：US20210182385A1

    公开(公告)日：2021-06-17

    申请号：US16710051

    申请日：2019-12-11

    Applicant: GENERAL ELECTRIC COMPANY

    Inventor： Subhrajit Roychowdhury ,  Masoud Abbaszadeh ,  Mustafa Tekin Dokucu

    IPC: G06F21/55 ,  G06N3/08 ,  G06N3/04 ,  G05B13/04 ,  G05B13/02

    Abstract: An industrial asset may have monitoring nodes (e.g., sensor or actuator nodes) that generate current monitoring node values. An abnormality detection and localization computer may receive the series of current monitoring node values and output an indication of at least one abnormal monitoring node that is currently being attacked or experiencing a fault. An actor-critic platform may tune a dynamic, resilient state estimator for a sensor node and output tuning parameters for a controller that improve operation of the industrial asset during the current attack or fault. The actor-critic platform may include, for example, a dynamic, resilient state estimator, an actor model, and a critic model. According to some embodiments, a value function of the critic model is updated for each action of the actor model and each action of the actor model is evaluated by the critic model to update a policy of the actor-critic platform.

    Sensor based smart segmentation
    48.
    发明授权
    Sensor based smart segmentation 有权

    公开(公告)号：US10884396B2

    公开(公告)日：2021-01-05

    申请号：US16287192

    申请日：2019-02-27

    Applicant: General Electric Company

    Inventor： Subhrajit Roychowdhury ,  Vipul Kumar Gupta ,  Randal T Rausch ,  Justin John Gambone ,  Xiaohu Ping ,  Alexander Chen ,  John Erik Hershey

    IPC: G06T19/00 ,  G05B19/4099 ,  B33Y50/02 ,  G05B13/02

    Abstract: According to some embodiments, system and methods are provided comprising receiving, via a communication interface of a platform comprising a segmentation module and a processor, a defined geometry for one or more geometric structures forming one or more parts, wherein the parts are manufactured with an additive manufacturing machine; generating a build file including an initial parameter set to fabricate each part; fabricating the part based on the build file; receiving sensor data for the fabricated part; generating a parameter set for each layer that forms the part, via execution of an iterative learning control process for each layer; generating raw power data for each layer that forms the part, using the processor, based on the generated parameter set; applying a noise reduction process to the raw power data; and generating a segmented build file, using the segmentation module, via application of the noise reduction process on the raw power data. Numerous other aspects are provided.

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