RETRACTED: Simani et al. Supervisory Control and Data Acquisition for Fault Diagnosis of Wind Turbines via Deep Transfer Learning. Energies 2023, 16, 3644

Simani, Silvio; Farsoni, Saverio; Castaldi, Paolo

doi:10.3390/en16217404

Open AccessRetraction

RETRACTED: Simani et al. Supervisory Control and Data Acquisition for Fault Diagnosis of Wind Turbines via Deep Transfer Learning. Energies 2023, 16, 3644

by

Silvio Simani

^1,*

,

Saverio Farsoni

¹

and

Paolo Castaldi

²

¹

Department of Engineering, University of Ferrara, 44122 Ferrara, Italy

²

Department of Electrical, Electronic, and Information Engineering, University of Bologna, 40136 Bologna, Italy

^*

Author to whom correspondence should be addressed.

Energies 2023, 16(21), 7404; https://doi.org/10.3390/en16217404

Submission received: 17 October 2023 / Accepted: 27 October 2023 / Published: 2 November 2023

Download Versions Notes

The journal retracts the article entitled “Supervisory Control and Data Acquisition for Fault Diagnosis of Wind Turbines via Deep Transfer Learning” [1].

Following publication, concerns were brought to the attention of the Editorial Office regarding a significant overlap with a previously written, yet unpublished manuscript, from a different authorship group.

Adhering to our complaint’s procedure, an investigation was conducted by the Editorial Office and Editorial Board, and it confirmed a significant overlap, which included figures, presented learning strategies, concepts, text and cited references, with a previously written, unpublished study, whose copyrights are owned by Bern University of Applied Sciences BFH. Therefore, the Energies Editorial Office has taken the decision to retract [1].

This retraction was approved by the Editor in Chief of the journal Energies.

The authors agreed to this retraction.

Reference

Simani, S.; Farsoni, S.; Castaldi, P. RETRACTED: Supervisory Control and Data Acquisition for Fault Diagnosis of Wind Turbines via Deep Transfer Learning. Energies 2023, 16, 3644. [Google Scholar] [CrossRef]

Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Share and Cite

MDPI and ACS Style

Simani, S.; Farsoni, S.; Castaldi, P. RETRACTED: Simani et al. Supervisory Control and Data Acquisition for Fault Diagnosis of Wind Turbines via Deep Transfer Learning. Energies 2023, 16, 3644. Energies 2023, 16, 7404. https://doi.org/10.3390/en16217404

AMA Style

Simani S, Farsoni S, Castaldi P. RETRACTED: Simani et al. Supervisory Control and Data Acquisition for Fault Diagnosis of Wind Turbines via Deep Transfer Learning. Energies 2023, 16, 3644. Energies. 2023; 16(21):7404. https://doi.org/10.3390/en16217404

Chicago/Turabian Style

Simani, Silvio, Saverio Farsoni, and Paolo Castaldi. 2023. "RETRACTED: Simani et al. Supervisory Control and Data Acquisition for Fault Diagnosis of Wind Turbines via Deep Transfer Learning. Energies 2023, 16, 3644" Energies 16, no. 21: 7404. https://doi.org/10.3390/en16217404

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Menu

RETRACTED: Simani et al. Supervisory Control and Data Acquisition for Fault Diagnosis of Wind Turbines via Deep Transfer Learning. Energies 2023, 16, 3644

Reference

Share and Cite

Article Metrics

Article Access Statistics

Further Information

Guidelines

MDPI Initiatives

Follow MDPI