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公开(公告)号：US20190146436A1
公开(公告)日：2019-05-16
申请号：US15809804
申请日：2017-11-10
Applicant: General Electric Company
Inventor： Victor Manuel Perez Zarate , Luis Gabriel De Alba Rivera , Brock Estel Osborn , Katherine Tharp Nowicki , Michael William Bailey , Michael Evans Graham
IPC: G05B19/042
CPC classification number: G05B19/042 , G05B2219/2639 , G06Q10/20
Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to generate a workscope. An example apparatus includes a workscope mapper, workscope strategy analyzer, and workscope selector. The workscope strategy analyzer is to evaluate each of the plurality of workscopes using dynamic optimization to determine a maintenance value and benefit to an asset associated with each workscope based on a stage in a remaining life of a constraint at which the evaluation is executed and a state of the asset. The dynamic optimization is to determine a prediction of the maintenance value based on a probability of a future change in state and associated workscope value until the end of life of the constraint. The maintenance value, used to select a workscope from the plurality of workscopes, is to be determined by the dynamic optimization as a sum of the associated workscope values until the end of life of the constraint.
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公开(公告)号：US11067592B2
公开(公告)日：2021-07-20
申请号：US15809747
申请日：2017-11-10
Applicant: General Electric Company
Inventor： William Edwin Hurst , Mei Gao , Vivek Gandhi , Donald Horn , Gregory Jon Chiaramonte , Katherine Tharp Nowicki , Steven Richard Levin , Michael William Bailey , Ronald Plybon , Mustafa Tekin Dokucu , Aditya Kumar
Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to perform prognostic health monitoring of a turbine engine. An example apparatus includes a health quantifier calculator to execute a computer-generated model to generate first sensor data of a turbine engine, the first sensor data based on simulating a sensor monitoring the turbine engine using asset monitoring information, a parameter tracker to execute a tracking filter using the first sensor data and second sensor data to generate third sensor data corresponding to the turbine engine, the second sensor data based on obtaining sensor data from a sensor monitoring the turbine engine, the third sensor data based on comparing the first sensor data to the second sensor data, the health quantifier calculator to execute the computer-generated model using the third sensor data to generate an asset health quantifier of the turbine engine; and a report generator to generate a report including the asset health quantifier and a workscope recommendation based on the asset health quantifier when the asset health quantifier satisfies a threshold.
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公开(公告)号：US10796018B2
公开(公告)日：2020-10-06
申请号：US15809804
申请日：2017-11-10
Applicant: General Electric Company
Inventor： Victor Manuel Perez Zarate , Luis Gabriel De Alba Rivera , Brock Estel Osborn , Katherine Tharp Nowicki , Michael William Bailey , Michael Evans Graham
IPC: G05B19/042 , G06Q10/00 , G06F21/62 , G06F19/00 , G06Q50/24 , H04N1/00 , G06F21/53 , G06F21/60 , G06T11/00 , G16H40/67 , G16H10/60 , G16H30/20
Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to generate a workscope. An example apparatus includes a workscope mapper, workscope strategy analyzer, and workscope selector. The workscope strategy analyzer is to evaluate each of the plurality of workscopes using dynamic optimization to determine a maintenance value and benefit to an asset associated with each workscope based on a stage in a remaining life of a constraint at which the evaluation is executed and a state of the asset. The dynamic optimization is to determine a prediction of the maintenance value based on a probability of a future change in state and associated workscope value until the end of life of the constraint. The maintenance value, used to select a workscope from the plurality of workscopes, is to be determined by the dynamic optimization as a sum of the associated workscope values until the end of life of the constraint.
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公开(公告)号：US20190146000A1
公开(公告)日：2019-05-16
申请号：US15809747
申请日：2017-11-10
Applicant: General Electric Company
Inventor： William Edwin Hurst , Mei Gao , Vivek Gandhi , Donald Horn , Gregory Jon Chiaramonte , Katherine Tharp Nowicki , Steven Richard Levin , Michael William Bailey , Ronald Plybon , Mustafa Tekin Dokucu , Aditya Kumar
Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to perform prognostic health monitoring of a turbine engine. An example apparatus includes a health quantifier calculator to execute a computer-generated model to generate first sensor data of a turbine engine, the first sensor data based on simulating a sensor monitoring the turbine engine using asset monitoring information, a parameter tracker to execute a tracking filter using the first sensor data and second sensor data to generate third sensor data corresponding to the turbine engine, the second sensor data based on obtaining sensor data from a sensor monitoring the turbine engine, the third sensor data based on comparing the first sensor data to the second sensor data, the health quantifier calculator to execute the computer-generated model using the third sensor data to generate an asset health quantifier of the turbine engine; and a report generator to generate a report including the asset health quantifier and a workscope recommendation based on the asset health quantifier when the asset health quantifier satisfies a threshold.
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