Machine learning for gearbox fault prediction by using both SCADA and modeled data / / Lindy Williams [and four others]
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| Autore: |
Williams Lindy
|
| Titolo: |
Machine learning for gearbox fault prediction by using both SCADA and modeled data / / Lindy Williams [and four others]
|
| Pubblicazione: | [Golden, CO] : , : National Renewable Energy Laboratory, , [February 2021] |
| Descrizione fisica: | 1 online resource (19 pages) : color illustrations |
| Soggetto topico: | Machine learning |
| Supervisory control systems - United States | |
| Wind turbines - United States | |
| Supervisory control systems | |
| Wind turbines | |
| Soggetto geografico: | United States |
| Note generali: | "Drivetrain Reliability Collaborative Workshop."' |
| "February 16-17, 2021." | |
| Nota di bibliografia: | Includes bibliographical references (page 19). |
| Altri titoli varianti: | Machine learning for gearbox fault prediction by using both supervisory control and data acquisition and modeled data |
| Titolo autorizzato: | Machine learning for gearbox fault prediction by using both SCADA and modeled data |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910716823803321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |