Verfahren und Vorrichtung zum Trainieren und Verwenden eines Maschinenlernmodells zur Identifizierung Fehlerhafter Komponenten

Details

Veröffentlichungs-Nr.

EP4730061

Anmeldetag

8. August 2025

Veröffentlichung

22. April 2026

Rechtsraum

EP

Abstract

A trained machine learning model identifies that a real-world apparatus has a failed component, which trained machine learning model has been trained with a training corpus that includes content generated by synthesizing a plurality of synthesized operating examples for a given apparatus, wherein at least some of the plurality of synthesized operating examples are generated via a simulation modeling environment that receives as input characterizing information that corresponds to any of a variety of failure states for a component of the given apparatus.

Anmelder

Firma

General Electric Company

Land

🇺🇸 USA