公开(公告)号：US20190146470A1

公开(公告)日：2019-05-16

申请号：US15809768

申请日：2017-11-10

Applicant: General Electric Company

Inventor： Srikanth Akkaram ,  Mariusz Wiklo ,  Youngwon Shin ,  Ricardo Cuevas ,  William Keith Kincaid ,  Jesus Miguel Valenzuela ,  Gregory Jon Chiaramonte ,  Vasanth Muralidharan ,  Charles Larry Abernathy ,  Venkata Vamsi Bhagavan ,  Andrew Scott Kessie

IPC: G05B23/02

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to generate a predictive asset health quantifier of a turbine engine. An example apparatus includes a performance model analyzer to determine a fleet behavior parameter by generating a reference performance model using historical information for a fleet of operators using turbine engines, generate a residual performance model based on calculating a difference between the fleet behavior parameter and a plurality of operator behavior parameters, identify an operator as a candidate improvement target based on comparing the operator behavior parameters corresponding to the operator to the fleet in the residual performance model, and determine an adjusted operator behavior parameter for the candidate improvement target. The example apparatus further includes a system updater to update a computer-based model to replace the operator behavior parameter with the adjusted operator behavior parameter, and a task optimizer to determine a workscope for the turbine engine.

公开(公告)号：US20220083040A1

公开(公告)日：2022-03-17

申请号：US17531911

申请日：2021-11-22

Applicant: General Electric Company

Inventor： Srikanth Akkaram ,  Mariusz Wiklo ,  Youngwon Shin ,  Ricardo Cuevas ,  William Keith Kincaid ,  Jesus Miguel Valenzuela ,  Gregory Jon Chiaramonte ,  Vasanth Muralidharan ,  Charles Larry Abernathy ,  Venkata Vamsi Bhagavan ,  Andrew Scott Kessie

IPC: G05B23/02

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to generate a predictive asset health quantifier of a turbine engine. An example apparatus includes a performance model analyzer to determine a fleet behavior parameter by generating a reference performance model using historical information for a fleet of operators using turbine engines, generate a residual performance model based on calculating a difference between the fleet behavior parameter and a plurality of operator behavior parameters, identify an operator as a candidate improvement target based on comparing the operator behavior parameters corresponding to the operator to the fleet in the residual performance model, and determine an adjusted operator behavior parameter for the candidate improvement target. The example apparatus further includes a system updater to update a computer-based model to replace the operator behavior parameter with the adjusted operator behavior parameter, and a task optimizer to determine a workscope for the turbine engine.

公开(公告)号：US11181898B2

公开(公告)日：2021-11-23

申请号：US15809768

申请日：2017-11-10

Applicant: General Electric Company

Inventor： Srikanth Akkaram ,  Mariusz Wiklo ,  Youngwon Shin ,  Ricardo Cuevas ,  William Keith Kincaid ,  Jesus Miguel Valenzuela ,  Gregory Jon Chiaramonte ,  Vasanth Muralidharan ,  Charles Larry Abernathy ,  Venkata Vamsi Bhagavan ,  Andrew Scott Kessie

IPC: G05B23/02 ,  G06Q10/06

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to generate a predictive asset health quantifier of a turbine engine. An example apparatus includes a performance model analyzer to determine a fleet behavior parameter by generating a reference performance model using historical information for a fleet of operators using turbine engines, generate a residual performance model based on calculating a difference between the fleet behavior parameter and a plurality of operator behavior parameters, identify an operator as a candidate improvement target based on comparing the operator behavior parameters corresponding to the operator to the fleet in the residual performance model, and determine an adjusted operator behavior parameter for the candidate improvement target. The example apparatus further includes a system updater to update a computer-based model to replace the operator behavior parameter with the adjusted operator behavior parameter, and a task optimizer to determine a workscope for the turbine engine.

公开(公告)号：US20220269841A1

公开(公告)日：2022-08-25

申请号：US17185295

申请日：2021-02-25

Applicant: General Electric Company

Inventor： Vasanth Muralidharan ,  Yan Chen ,  Trevor A. Tersmette ,  Steven Laverne Johann ,  Rebinth Robin

IPC: G06F30/27 ,  G07C5/08 ,  F02C9/00

Abstract: A system and method for monitoring and diagnosis of engine health are provided. In one aspect, a system receives continuous operating data (COD) associated with an asset. The COD includes parameter values for one or more parameters over a collection time period. The system generates synthetic snapshot data based at least in part on the COD. The synthetic snapshot data includes one or more synthetic snapshots each containing the parameter values for the one or more parameters for a given timepoint within the collection time period. The system also receives snapshot data associated with the asset. The snapshot data includes one or more snapshots each containing parameter values for the one or more parameters for a given timepoint. The system generates an output indicating a health status of the asset or one or more components thereof based at least in part on the snapshot data and the synthetic snapshot data.

公开(公告)号：US11256245B2

公开(公告)日：2022-02-22

申请号：US16232700

申请日：2018-12-26

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Srikanth Akkaram ,  Karan Oberoi ,  Vasanth Muralidharan ,  Michael Howard Fisher

IPC: G05B23/02 ,  B64F5/60 ,  B64F5/40

Abstract: An apparatus and method for predicting distress on a physical component. The method can include obtaining distress data. The distress data can be used to determine a distress rank. The distress rank can be compared to a distress output provided by a kernel that use parameters related to the physical component. The comparison can result in a prediction model for the physical component.

公开(公告)号：US20200209843A1

公开(公告)日：2020-07-02

申请号：US16232700

申请日：2018-12-26

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Srikanth Akkaram ,  Karan Oberoi ,  Vasanth Muralidharan ,  Michael Howard Fisher

IPC: G05B23/02 ,  B64F5/60 ,  B64F5/40

Abstract: An apparatus and method for predicting distress on a physical component. The method can include obtaining distress data. The distress data can be used to determine a distress rank. The distress rank can be compared to a distress output provided by a kernel that use parameters related to the physical component. The comparison can result in a prediction model for the physical component.