公开(公告)号：US20240427966A1

公开(公告)日：2024-12-26

申请号：US18212936

申请日：2023-06-22

Applicant: General Electric Company

Inventor： Piyush Pandita ,  John Curran ,  Sayan Ghosh ,  Liping Wang

IPC: G06F30/27

Abstract: Methods and systems for calibrating a model are provided herein. In some embodiments, the methods include receiving, via a control circuit, test data for an operational parameter of a real-world system, such as an engine, from operational tests. The control circuit also receives model data for the operational parameter from simulations performed via a model of the engine. The control circuit then compresses the test data and the model data to generate compressed test data and compressed model data and fusing the compressed test data with the compressed model data to generate fused data. The control circuit performs parallel Bayesian inference simulations using the fused data to identify at least one value for a tuning parameter of the model. The control circuit may identify and select tuning parameters to match the model data with test data, the model data may be one or more model outputs (i.e., output parameters).