Zustandsüberwachung basierend auf Maschinenlernen mit einer Angepassten Ersten Physikalischen Grösse
Anmelder: ABB SCHWEIZ AG 🇨🇭
Details
- Veröffentlichungs-Nr.
- EP4711873
- Anmeldetag
- 17. September 2024
- Veröffentlichung
- 18. März 2026
- Rechtsraum
- EP
- IPC
- G05B23/02(MIKLOSOVIC ROBERT J et al.)
Abstract
A method of adjusting data used for detecting faulty conditions of a machine comprises estimating, in a first machine learning model (30), required output data (OD) based on input data, which input data comprises at least one measured first physical quantity (PQ1<sub>M</sub>) associated with the machine and the output data (OD) comprises at least one estimated second physical quantity (PQ2<sub>E</sub>) of the machine, processing at least some of the input data for obtaining an adjusted first physical quantity (PQ1<sub>E</sub>), in which adjusted first physical quantity (PQ1<sub>E</sub>) external influences have been limited and applying the adjusted first physical quantity (PQ1<sub>E</sub>) together with the input data without the measured physical quantity (RI) in the first machine learning model (30) for obtaining modified output data (OD*) for use in detecting faulty conditions of the machine, which modified output data (OD*) comprises at least one adjusted estimated second physical quantity (PQ2<sub>E</sub>) in which the external influences have been limited.
Anmelder
- Firma
- ABB SCHWEIZ AG
- Land
- 🇨🇭 Schweiz
Schweizerisch-schwedischer Technologiekonzern mit Sitz in Zürich. Fokussiert auf Elektrifizierung, Robotik, industrielle Automatisierung sowie Antriebstechnik für Industrie- und Energiekunden.
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Kransell & Wennborg KB
Kransell & Wennborg KB · Stockholm