System und Verfahren zum Trainieren von Anomaliedetektionsanalytik zur Automatischen Beseitigung von Ausreisserdaten

Details

Veröffentlichungs-Nr.

EP3913216

Aktenzeichen

EP21173505

Anmeldetag

12. Mai 2021

Veröffentlichung

11. Februar 2026

Erteilung

11. Februar 2026

Rechtsraum

EP

IPC

G06N20/00F03D7/04G06N7/01

Abstract

A method for detecting anomalies during operation of an asset to improve performance of the asset includes collecting, via a server, data relating to operation of the asset or a group of assets containing the asset. The data includes normal and abnormal asset behavior of the asset or the group of assets containing the asset. Further, the method includes automatically removing, via an iterative algorithm programmed in the server that utilizes one or more inputs or outputs of an anomaly detection analytic, portions of the data containing the abnormal asset behavior to form a dataset containing only the normal asset behavior. The method also includes training, via a computer-based model programmed in the server, the anomaly detection analytic using, at least, the dataset containing only the normal asset behavior. Moreover, the method includes applying, via the server, the anomaly detection analytic to the asset so as to monitor for anomalies during operation thereof.

Anmelder

Firmen

General Electric Renovables España, S.L.
General Electric Company

Land

🇪🇸 Spanien

Fachgebiete