Vorrichtung und Verfahren zur Antriebsauswahl unter Verwendung von Maschinenlernen

EP3731155 Art B1 17. September 2025

Anmelder: ABB Schweiz AG 🇨🇭

Details

Veröffentlichungs-Nr.
EP3731155
Aktenzeichen
EP19171036
Anmeldetag
25. April 2019
Veröffentlichung
17. September 2025
Erteilung
17. September 2025
Rechtsraum
EP
IPC
G06N5/02G06N20/00G06N3/04G06N7/00
Offizieller Volltext

Abstract

A computer-implemented method of training an artificial intelligence module (102) for selecting at least one component (502) of an industrial drive system (500) and an apparatus comprising a correspondingly trained Al module are described. The method comprises the step of providing (S1) an initial training data set comprising a set of rules, wherein each rule is indicative of a selection decision for selecting at least one component (502) of the industrial drive system (500) based on at least one usage requirement for the industrial drive system (500). Further, a modified training data set is generated based on supplementing the initial training data set with at least one further selection decision for selecting the at least one component (502) of the drive system (500) based on at least one of simulation data relating to a simulation of at least a part of the drive system, empiric data relating to a selection of the at least one component, and operational data indicative of at least one operational characteristic of at least one installed industrial drive system. Further, the Al module is trained based on the modified training data set.

Anmelder

Firma
ABB Schweiz AG
Land
🇨🇭 Schweiz
🇨🇭 ABB

Schweizerisch-schwedischer Technologiekonzern mit Sitz in Zürich. Fokussiert auf Elektrifizierung, Robotik, industrielle Automatisierung sowie Antriebstechnik für Industrie- und Energiekunden.

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