Neural Network for Estimating the Technical Age of Power Transformers

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Henning Schnittker
  • Peter Werle
  • Tobias Münster
  • Matthias Lottner

Externe Organisationen

  • TenneT Offshore GmbH Lehrte
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des Sammelwerks2022 9th International Conference on Condition Monitoring and Diagnosis, CMD 2022
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten289-292
Seitenumfang4
ISBN (elektronisch)9784886864314
ISBN (Print)978-1-6654-7015-5
PublikationsstatusVeröffentlicht - 2022
Veranstaltung9th International Conference on Condition Monitoring and Diagnosis, CMD 2022 - Virtual, Online, Japan
Dauer: 13 Nov. 202218 Nov. 2022

Abstract

An artificial neural network is created to estimate the technical age of power transformers based on the measurement results of standard oil tests and dissolved gas analysis. The prediction accuracy for ±5 years is 75 percent indicates the overlapping between the technical and calendrical age of the power transformers.

ASJC Scopus Sachgebiete

Zitieren

Neural Network for Estimating the Technical Age of Power Transformers. / Schnittker, Henning; Werle, Peter; Münster, Tobias et al.
2022 9th International Conference on Condition Monitoring and Diagnosis, CMD 2022. Institute of Electrical and Electronics Engineers Inc., 2022. S. 289-292.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Schnittker, H, Werle, P, Münster, T & Lottner, M 2022, Neural Network for Estimating the Technical Age of Power Transformers. in 2022 9th International Conference on Condition Monitoring and Diagnosis, CMD 2022. Institute of Electrical and Electronics Engineers Inc., S. 289-292, 9th International Conference on Condition Monitoring and Diagnosis, CMD 2022, Virtual, Online, Japan, 13 Nov. 2022. https://doi.org/10.23919/CMD54214.2022.9991307
Schnittker, H., Werle, P., Münster, T., & Lottner, M. (2022). Neural Network for Estimating the Technical Age of Power Transformers. In 2022 9th International Conference on Condition Monitoring and Diagnosis, CMD 2022 (S. 289-292). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/CMD54214.2022.9991307
Schnittker H, Werle P, Münster T, Lottner M. Neural Network for Estimating the Technical Age of Power Transformers. in 2022 9th International Conference on Condition Monitoring and Diagnosis, CMD 2022. Institute of Electrical and Electronics Engineers Inc. 2022. S. 289-292 doi: 10.23919/CMD54214.2022.9991307
Schnittker, Henning ; Werle, Peter ; Münster, Tobias et al. / Neural Network for Estimating the Technical Age of Power Transformers. 2022 9th International Conference on Condition Monitoring and Diagnosis, CMD 2022. Institute of Electrical and Electronics Engineers Inc., 2022. S. 289-292
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