Transfer Learning for Fault Detection with Application to Wind Turbine SCADA Data
Silvio Simani 1,*
, Saverio Farsoni 1, Paolo Castaldi 2
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Department of Engineering, University of Ferrara, Via Saragat 1E, Ferrara, 44122, FE, Italy
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Department of Electrical, Electronic and Information Engineering, University of Bologna, Via Fontanelle, Forl´ı, 47121, FC, Italy
* Correspondence: Silvio Simani
Academic Editor: Andrés Elías Feijóo Lorenzo
Collection: Wind Energy
Received: February 02, 2023 | Accepted: March 15, 2023 | Published: March 21, 2023 | Retracted: June 28, 2023
Journal of Energy and Power Technology 2023, Volume 5, Issue 1, doi:10.21926/jept.2301011
Recommended citation: Simani S, Farsoni S, Castaldi P. Transfer Learning for Fault Detection with Application to Wind Turbine SCADA Data. Journal of Energy and Power Technology 2023; 5(1): 011; doi:10.21926/jept.2301011.
© 2023 by the authors. This is an open access article distributed under the conditions of the Creative Commons by Attribution License, which permits unrestricted use, distribution, and reproduction in any medium or format, provided the original work is correctly cited.
Abstract
In agreement with the Editor-in-Chief, the editorial office, and the authors, this article has been removed and marked as retracted because its content and data contained plagiarism from an unpublished study. Please refer to the Removal Statement.
