Machines 2022, 10(3), 208; https://doi.org/10.3390/machines10030208 - 14 Mar 2022
Best Paper Award
Dear Colleagues,
We are pleased to announce the winners of the Machines 2021 Best Paper Award. All papers published from 01 January 2021 to 31 December 2021 in Machines were considered for the award. After a thorough evaluation of the originality and significance of the papers, citations, and downloads, two winners were selected.
One Review:
A Survey on Fault Diagnosis and Fault-Tolerant Control Methods for Unmanned Aerial Vehicles
By George K. Fourlas and George C. Karras
Machines 2021, 9(9), 197; doi: 10.3390/machines9090197
One Article:
Dual-Motor Planetary Transmission to Improve Efficiency in Electric Vehicles
By Giacomo Mantriota and Giulio Reina
Machines 2021, 9(3), 58; doi: 10.3390/machines9030058
Each winner (corresponding author) will receive CHF 500, a certificate and a chance to publish a paper free of charge in Machines in 2023 after peer review.
Please join us in congratulating the winners of the Machines 2021 Best Paper Award. We would also like to take this opportunity to thank all of our authors for their continued support of Machines.
Kind regards,
Machines Editorial Office
Machines 2021 Best Paper Award
Eligibility and Requirements
– All papers published in Machines will be eligible (Both regular and Special Issue submissions).
Past Winners
Year:
Winner
A Comprehensive Survey on Fault Tolerance in Multiphase AC Drives, Part 1: General Overview Considering Multiple Fault Types
A Novel Impact Feature Extraction Method Based on EMD and Sparse Decomposition for Gear Local Fault Diagnosis
Machines 2022, 10(4), 242; https://doi.org/10.3390/machines10040242 - 30 Mar 2022
Award Committee
Prof. Dr. Antonio J. Marques Cardoso
Chairman
CISE | University of Beira Interior (UBI)
Prof. Dr. Hui Ma
School of Mechanical Engineering and Automation, Northeastern University, CHINA
Dr. Jose Alfonso Antonino Daviu
Universitat Politecnica de Valencia
Prof. Dr. Dan Zhang
The Hong Kong Polytechnic University
Winner
A Survey on Fault Diagnosis and Fault-Tolerant Control Methods for Unmanned Aerial Vehicles
Machines 2021, 9(9), 197; https://doi.org/10.3390/machines9090197 - 13 Sep 2021
Dual-Motor Planetary Transmission to Improve Efficiency in Electric Vehicles
Machines 2021, 9(3), 58; https://doi.org/10.3390/machines9030058 - 11 Mar 2021
