Invention Application
- Patent Title: METHODS AND APPARATUS TO GENERATE A PREDICTIVE ASSET HEALTH QUANTIFIER OF A TURBINE ENGINE
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Application No.: US17531911Application Date: 2021-11-22
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Publication No.: US20220083040A1Publication Date: 2022-03-17
- 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
- Applicant: General Electric Company
- Applicant Address: US NY Schenectady
- Assignee: General Electric Company
- Current Assignee: General Electric Company
- Current Assignee Address: US NY Schenectady
- Main IPC: G05B23/02
- 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.
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