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Patent Agency Ranking
公开(公告)号：US20250157339A1
公开(公告)日：2025-05-15
申请号：US18507753
申请日：2023-11-13
Applicant: General Electric Company
Inventor： Vijay Shiv Kumar , Kareem Sherif Aggour , Paul Edward Cuddihy , Michael Vincent Romer , Alfredo Gabaldon Royval , Sharad Dixit , David Carl Miller , Teddy Kusnadi
Abstract: Systems, apparatus, computer-readable medium, and associated methods to manage a network of digital twins are disclosed. An example apparatus includes memory circuitry to store a plurality of snapshots, each snapshot including a plurality of digital twin models interconnected by a plurality of connections, the plurality of digital twin models including a first digital twin model of a first asset and a second digital twin model of a second asset, the plurality of connections including a first connection between the first digital twin model and the second digital twin model, the first connection representing a relationship between the first digital twin model and the second digital twin model at a specified point in time. The example apparatus includes processing circuitry to process the query to identify the first snapshot and the second snapshot, determine a correlation, and generate the result with an actionable output.
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公开(公告)号：US20180137424A1
公开(公告)日：2018-05-17
申请号：US15354235
申请日：2016-11-17
Applicant: GENERAL ELECTRIC COMPANY
CPC classification number: G06N5/022 , G06F16/9024
Abstract: Examples relate to systems for authoring and executing predictive models. A computer system includes a model development context analyzer configured to store a set of derived modeling knowledge generated at least in part from a plurality of modeling operations performed using at least a first predictive model authoring tool. The system is configured to, receive a modeling context indicating at least a modeling operation being performed, determine, from the modeling context, at least one element of an ontology, the ontology defining at least one attribute of a plurality of modeling operations, query the set of derived modeling knowledge using the at least one element of the ontology to identify at least one record of the set of derived modeling knowledge associated with the at least one element of the ontology, identify at least one suggested model parameter associated with the modeling context, and provide the at least one suggested model parameter.
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公开(公告)号：US20180129941A1
公开(公告)日：2018-05-10
申请号：US15347887
申请日：2016-11-10
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Steven Matt Gustafson , Kareem Sherif Aggour , Paul Edward Cuddihy , Alfredo Gabaldon Royval , Justin DeSpenza McHugh , Luis Babaji Ng Tari
CPC classification number: G06N5/02 , G06F16/90335 , G06Q10/04
Abstract: Some embodiments are directed to systems for authoring predictive models. An embodiment includes a computer system implementing a development environment for generating predictive models. The predictive model authoring tool is configured to perform a modeling operation based on one or more user inputs provided to interface controls of the predictive model authoring tool, determine a modeling context for the modeling operation, log the one or more user inputs, generate a predictive model based on one or more model parameters defined during the modeling operation, link the predictive model to an asset, such that one or more sets of data received from the asset are provided to the predictive model during execution of the predictive model, cause the predictive model to be executed such that the predictive model receives data from the asset, and provide the modeling context, the one or more user inputs, and the one or more model parameters.
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公开(公告)号：US10970634B2
公开(公告)日：2021-04-06
申请号：US15347887
申请日：2016-11-10
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Steven Matt Gustafson , Kareem Sherif Aggour , Paul Edward Cuddihy , Alfredo Gabaldon Royval , Justin Despenza McHugh , Luis Babaji Ng Tari
Abstract: Some embodiments are directed to systems for authoring predictive models. An embodiment includes a computer system implementing a development environment for generating predictive models. The predictive model authoring tool is configured to perform a modeling operation based on one or more user inputs provided to interface controls of the predictive model authoring tool, determine a modeling context for the modeling operation, log the one or more user inputs, generate a predictive model based on one or more model parameters defined during the modeling operation, link the predictive model to an asset, such that one or more sets of data received from the asset are provided to the predictive model during execution of the predictive model, cause the predictive model to be executed such that the predictive model receives data from the asset, and provide the modeling context, the one or more user inputs, and the one or more model parameters.
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公开(公告)号：US20180129959A1
公开(公告)日：2018-05-10
申请号：US15347844
申请日：2016-11-10
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Steven Matt Gustafson , Kareem Sherif Aggour , Alfredo Gabaldon Royval , Varish Vyankatesh Mulwad
Abstract: Examples relate to systems for authoring and executing predictive models. A computer system includes a model development context analyzer configured to store a set of derived modeling knowledge generated at least in part from a plurality of modeling operations performed using at least a first predictive model authoring tool. The system is configured to, receive a modeling context indicating at least a modeling operation being performed, determine, from the modeling context, at least one element of an ontology, the ontology defining at least one attribute of a plurality of modeling operations, query the set of derived modeling knowledge using the at least one element of the ontology to identify at least one record of the set of derived modeling knowledge associated with the at least one element of the ontology, identify at least one suggested model parameter associated with the modeling context, and provide the at least one suggested model parameter.
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