Vorrichtung zur Vorhersage von Ausrüstungsschäden
Anmelder: ABB Schweiz AG 🇨🇭
Details
- Veröffentlichungs-Nr.
- EP3712728
- Aktenzeichen
- EP19164552
- Anmeldetag
- 22. März 2019
- Veröffentlichung
- 14. Mai 2025
- Erteilung
- 14. Mai 2025
- Rechtsraum
- EP
- IPC
- G05B19/4065G05B23/02
Abstract
The present invention relates to an apparatus for predicting equipment damage. The apparatus comprises an input unit, a processing unit, and an output unit. The input unit is configured to provide the processing unit with sensor data for an item of equipment. The processing unit is configured to implement at least one machine learning algorithm. The at least one machine learning algorithm has been trained on the basis of a plurality of calibration sensor data for the item of equipment. Training of the at least one machine learning algorithm comprises processing the plurality of calibration sensor data to determine at least two clusters representative of different equipment states. The processing unit is configured to implement the at least one machine learning algorithm to process the sensor data to assign the sensor data to a cluster of the at least two clusters to determine an equipment state for the item of equipment. The output unit is configured to output the equipment state for the item of equipment.
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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