Machines Best Paper Award—Winners Announced

We are pleased to announce the winners of the Machines Best Paper Award. All papers published in 2023 in Machines (ISSN: 2075-1702) were considered for the award. After a thorough evaluation of the originality and significance of the papers, citations, and downloads, two winners were selected.

Review:
“Bearing Current and Shaft Voltage in Electrical Machines: A Comprehensive Research Review”
by Kotb B. Tawfiq, Mehmet Güleç and Peter Sergeant
Machines 2023, 11(5), 550; https://doi.org/10.3390/machines11050550

Article:
“A Deep-Learning-Based Approach for Aircraft Engine Defect Detection”
by Anurag Upadhyay, Jun Li, Steve King and Sri Addepalli
Machines 2023, 11(2), 192; https://doi.org/10.3390/machines11020192

Each winner will receive CHF 500 and a chance to publish a paper in Machines in 2025 after peer review.

Please join us in congratulating the winners of Machines Best Paper Award. We would also like to take this opportunity to thank all of our authors for your continued support of Machines.

Machines Editorial Office