Anomaliezeichenerkennungssystem und Anomaliezeichenerkennungsmodellerzeugungsverfahren

Details

Veröffentlichungs-Nr.

EP4276560

Aktenzeichen

EP23171247

Anmeldetag

3. Mai 2023

Veröffentlichung

17. September 2025

Erteilung

17. September 2025

Rechtsraum

EP

IPC

G05B23/02G06Q50/06G06N3/088

Abstract

According to one embodiment, an abnormality sign detection system comprising one or more computers configured to perform machine learning of an abnormality-sign detection-model that detects at least one of an abnormality in a target facility to be monitored and a sign of the abnormality, wherein the one or more computers are configured to: acquire a plurality of process amounts generated at the target facility; classify each of the plurality of process amounts into either correlation data for which correlation between the plurality of process amounts is learned or decorrelation data for which correlation between the plurality of process amounts is not learned; generate learning input data depending on classification, the learning input data being data in which each of the plurality of process amounts is associated with the correlation data or the decorrelation data; and perform the machine learning by inputting the learning input data to the abnormality-sign detection-model.

Anmelder

Firmen

KABUSHIKI KAISHA TOSHIBA
Toshiba Energy Systems & Solutions Corporation

Land

🇯🇵 Japan

Fachgebiete