Erzeugung einer Künstlichen Sensorprobe

Details

Veröffentlichungs-Nr.

EP4800503

Anmeldetag

25. Februar 2026

Veröffentlichung

2. September 2026

Rechtsraum

EP

IPC

G05B23/02, G06N20/00, G06N7/00

Abstract

A maintenance and monitoring infrastructure can collect real machine samples and train failure analysis models to identify operational anomalies, indicative of a machine failure. Failure analysis models can be trained and more robustly tested and developed by using artificial samples that can simulate what a real monitor would have measured had the real monitor been deployed in a set of selected circumstances (a scenario). A synthetic sample generator (SSG) can include a seed development cycle stage (SDCS) and a synthesis execution stage (SES). The SDCS can generate a signal, from which the SES can generate a multi-phenomena synthetic signal, simulating a scenario, where a monitor would have likely yielded the generated synthetic signal, or a similar signal. The synthetic signal data can be used to train failure analysis models.

Anmelder

Firma

Tractian Technologies Inc

Land

🇺🇸 USA

Fachgebiete