Verfahren und System zur Optimierung der Montage von Rotierender Hardware in Gasturbinenmotoren unter Verwendung Künstlicher Neuronaler Netze

Details

Veröffentlichungs-Nr.

EP4474616

Aktenzeichen

EP24180900

Anmeldetag

7. Juni 2024

Veröffentlichung

28. Januar 2026

Erteilung

28. Januar 2026

Rechtsraum

EP

IPC

F01D5/02F01D21/00F01D25/04G06N3/006G06N3/045G06N3/08G06N3/084F01D5/10F01D5/16F01D5/26F01D25/06G01M1/30

Abstract

A method of optimizing the assembly of rotating hardware of a gas turbine engine (GTE) includes obtaining a respective input data set (152) indicative of one or more contributors to unbalance for one or of a plurality of stages (304) of one or more modules (302A; 302B) of the GTE. For each of the module(s), one or more neural networks associated with the module are utilized to obtain, based on the respective input data set (152) for the module (302A; 302B), a set of optimized clock angles (168) for arranging the stages (304) of the module relative to each other to mitigate vibration of the GTE. Each of the first neural network(s) (150A) has been trained with training data including the contributor(s) to unbalance, and at least one rotor dynamics model that uses the training data and the set of clock angles (168) from the neural network(s) to predict vibration at one or more locations of interest in the GTE.

Anmelder

Firma

RTX Corporation

Land

🇺🇸 USA

Fachgebiete