公开(公告)号：US12241382B2

公开(公告)日：2025-03-04

申请号：US17490436

申请日：2021-09-30

Applicant: General Electric Company

Inventor： Eduardo Aguilar Armendariz ,  Pamela M. Boehm ,  Kanahayya Dudhale ,  Shivam Mittal ,  William J. Simpson

IPC: F01D5/10 ,  F01D5/02 ,  F01D21/00 ,  G01H1/00 ,  G01M1/02 ,  G01M1/32 ,  G06N20/00

Abstract: A system and method for reducing the vibration response of a rotating system are provided. In one aspect, an optimized balance shot or solution that indicates one or more physical locations at which one or more balancing weights are to be added or removed from the rotating system is generated. The balance shot is generated based on a transfer function that is customized specifically for the rotating system. The transfer function is generated by applying one or more machine-learned models to parameter values for parameters that are associated with the rotating system. The machine-learned models can generate main effects plots, and from the plots, an effective set of parameter values can be determined. The transfer function can be generated using the effective set of parameter values so that the transfer function used to generate the balance shot is optimized specifically for the rotating system undergoing the balancing process.

公开(公告)号：US20230012799A1

公开(公告)日：2023-01-19

申请号：US17490436

申请日：2021-09-30

Applicant: General Electric Company

Inventor： Eduardo Aguilar Armendariz ,  Pamela M. Boehm ,  Kanahayya Dudhale ,  Shivam Mittal ,  William J. Simpson

IPC: F01D5/10 ,  F01D5/02 ,  F01D21/00

Abstract: A system and method for reducing the vibration response of a rotating system are provided. In one aspect, an optimized balance shot or solution that indicates one or more physical locations at which one or more balancing weights are to be added or removed from the rotating system is generated. The balance shot is generated based on a transfer function that is customized specifically for the rotating system. The transfer function is generated by applying one or more machine-learned models to parameter values for parameters that are associated with the rotating system. The machine-learned models can generate main effects plots, and from the plots, an effective set of parameter values can be determined. The transfer function can be generated using the effective set of parameter values so that the transfer function used to generate the balance shot is optimized specifically for the rotating system undergoing the balancing process.