Computerimplementiertes Verfahren zum Trainieren eines Maschinenlernalgorithmus
Anmelder: Rolls-Royce plc 🇬🇧
Details
- Veröffentlichungs-Nr.
- EP3751146
- Aktenzeichen
- EP20178983
- Anmeldetag
- 9. Juni 2020
- Veröffentlichung
- 19. Oktober 2022
- Erteilung
- 19. Oktober 2022
- Rechtsraum
- EP
- IPC
- F04D27/00F01D21/00G06N3/08G05B23/02F04D29/32
Abstract
A computer-implemented method comprising: controlling input of at least a portion of a first training data set into a first machine learning algorithm, the first training data set including: data quantifying damage to a first compressor; and data quantifying a first operating parameter of the first compressor; executing the first machine learning algorithm; receiving data quantifying the first operating parameter as an output of the first machine learning algorithm; and training the first machine learning algorithm using: the received data output from the first machine learning algorithm; and data quantifying the first operating parameter of the first compressor, the trained first machine learning algorithm being configured to enable determination of operability of a second compressor of a gas turbine engine.
Anmelder
- Firma
- Rolls-Royce plc
- Land
- 🇬🇧 Großbritannien
Britisches Unternehmen mit Sitz in Derby, das Flugzeugtriebwerke sowie Antriebssysteme für Luftfahrt, Marine und Energieerzeugung entwickelt und herstellt.
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