| Publikationstyp: | Konferenz: Poster |
| Art der Begutachtung: | Peer review (Abstract) |
| Titel: | An AI-based fault detection model using alarms and warnings from the SCADA system |
| Autor/-in: | Pizza, Gianmarco Notaristefano, Antonio Fabbri, Gregory Sean Goren Huber, Lilach |
| et. al: | No |
| Tagungsband: | Proceedings of the WindEurope Technology Workshop 2020 |
| Angaben zur Konferenz: | WindEurope Technology Workshop 2020 : Resource Assessment & Analysis of Operating Wind Farms, online, 8-11 June 2020 |
| Erscheinungsdatum: | 8-Jun-2020 |
| Verlag / Hrsg. Institution: | WindEurope |
| Sprache: | Englisch |
| Schlagwörter: | Fault detection; Predictive maintenance; Artificial intelligence; Machine learning; Wind turbines; SCADA data; Error logs |
| Fachgebiet (DDC): | 006: Spezielle Computerverfahren 620: Ingenieurwesen |
| Zusammenfassung: | Predictive maintenance is a key element for lowering Operation and Maintenance (O&M) costs of wind turbines. Predictive maintenance models are usually based on drivetrain vibration data or operational timeseries from the Supervisory Control And Data Acquisition (SCADA) system, while readily available alarms and warnings from the SCADA system are typically not utilized. In this work we present a novel Artificial Intelligence (AI) based approach for early fault detection of wind turbines using alarms and warnings from the SCADA system. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/21546 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | School of Engineering |
| Organisationseinheit: | Institut für Datenanalyse und Prozessdesign (IDP) |
| Publiziert im Rahmen des ZHAW-Projekts: | Machine Learning Based Fault Detection for Wind Turbines |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
Dateien zu dieser Ressource:
Es gibt keine Dateien zu dieser Ressource.
Zur Langanzeige
Pizza, G., Notaristefano, A., Fabbri, G. S., & Goren Huber, L. (2020, June 8). An AI-based fault detection model using alarms and warnings from the SCADA system. Proceedings of the WindEurope Technology Workshop 2020.
Pizza, G. et al. (2020) ‘An AI-based fault detection model using alarms and warnings from the SCADA system’, in Proceedings of the WindEurope Technology Workshop 2020. WindEurope.
G. Pizza, A. Notaristefano, G. S. Fabbri, and L. Goren Huber, “An AI-based fault detection model using alarms and warnings from the SCADA system,” in Proceedings of the WindEurope Technology Workshop 2020, Jun. 2020.
PIZZA, Gianmarco, Antonio NOTARISTEFANO, Gregory Sean FABBRI und Lilach GOREN HUBER, 2020. An AI-based fault detection model using alarms and warnings from the SCADA system. In: Proceedings of the WindEurope Technology Workshop 2020. Conference poster. WindEurope. 8 Juni 2020
Pizza, Gianmarco, Antonio Notaristefano, Gregory Sean Fabbri, and Lilach Goren Huber. 2020. “An AI-Based Fault Detection Model Using Alarms and Warnings from the SCADA System.” Conference poster. In Proceedings of the WindEurope Technology Workshop 2020. WindEurope.
Pizza, Gianmarco, et al. “An AI-Based Fault Detection Model Using Alarms and Warnings from the SCADA System.” Proceedings of the WindEurope Technology Workshop 2020, WindEurope, 2020.
Alle Ressourcen in diesem Repository sind urheberrechtlich geschützt, soweit nicht anderweitig angezeigt.