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：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.