Ereigniserkennung für einen Elektrischen Schutzschalter
Anmelder: Schneider Electric USA, Inc. 🇺🇸
Details
- Veröffentlichungs-Nr.
- EP4734140
- Anmeldetag
- 7. Oktober 2025
- Veröffentlichung
- 29. April 2026
- Rechtsraum
- EP
- IPC
- (SIEMENS INDUSTRY INC et al.)(BOYACI AYDIN et al.)(STATE GRID CORP CHINA et al.)
Abstract
Embodiments described herein provide techniques for detecting Electrical Circuit Breaker (ECB) events. Embodiments receive Electrical Circuit Breaker (ECB) handle motion data from a sensor, generate an encoded motion vector using one or more motion characteristics from the received ECB handle motion data, generate a probability distribution of ECB events from the encoded motion vector and the one or more motion characteristics using a trained Machine Learning (ML) model, generate a prediction of an electrical breaker movement event based on the generated probability distribution of ECB events by identifying an ECB event with the highest probability from the trained ML model, and transmit a signal, upon determining the predicted electrical breaker movement event has occurred.
Anmelder
- Firma
- Schneider Electric USA, Inc.
- Land
- 🇺🇸 USA
Französisches Unternehmen, das Lösungen für Energiemanagement, Automatisierung sowie elektrische Ausrüstung für Gebäude, Industrie und Infrastruktur entwickelt.
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