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Energies
Volume 16
Issue 15
10.3390/en16155641
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Editorial

Novel Approaches to Electrical Machine Fault Diagnosis

by
Toomas Vaimann
1,*,
Jose Alfonso Antonino-Daviu
2 and
Anton Rassõlkin
1
1
Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, 19086 Tallinn, Estonia
2
Instituto Tecnológico de la Energia, Universitat Politecnica de Valencia (UPV), Camino de Vera s/n, 46022 Valencia, Spain
*
Author to whom correspondence should be addressed.
Energies 2023, 16(15), 5641; https://doi.org/10.3390/en16155641
Submission received: 18 July 2023 / Accepted: 25 July 2023 / Published: 27 July 2023
(This article belongs to the Special Issue Novel Approaches to Electrical Machine Fault Diagnosis)
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Excerpt

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The increasing demand for intelligent machines, coupled with the drive for the more efficient utilization of these machines in various industries, and the emergence of Industry 4 [...]

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MDPI and ACS Style

Vaimann, T.; Antonino-Daviu, J.A.; Rassõlkin, A. Novel Approaches to Electrical Machine Fault Diagnosis. Energies 2023, 16, 5641. https://doi.org/10.3390/en16155641

AMA Style

Vaimann T, Antonino-Daviu JA, Rassõlkin A. Novel Approaches to Electrical Machine Fault Diagnosis. Energies. 2023; 16(15):5641. https://doi.org/10.3390/en16155641

Chicago/Turabian Style

Vaimann, Toomas, Jose Alfonso Antonino-Daviu, and Anton Rassõlkin. 2023. "Novel Approaches to Electrical Machine Fault Diagnosis" Energies 16, no. 15: 5641. https://doi.org/10.3390/en16155641

APA Style

Vaimann, T., Antonino-Daviu, J. A., & Rassõlkin, A. (2023). Novel Approaches to Electrical Machine Fault Diagnosis. Energies, 16(15), 5641. https://doi.org/10.3390/en16155641

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