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 2022 Best Paper Award. All papers published in 2022 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 Comprehensive Survey on Fault Tolerance in Multiphase AC Drives, Part 1: General Overview Considering Multiple Fault Types
By Alejandro G. Yepes, Oscar Lopez, Ignacio Gonzalez-Prieto, Mario J. Duran, and Jesus Doval-Gandoy
Machines 2022, 10(3), 208; doi:10.3390/machines10030208
One Article:
A Novel Impact Feature Extraction Method Based on EMD and Sparse Decomposition for Gear Local Fault Diagnosis
By Zhongze Liu, Kang Ding, Huibin Lin, Guolin He, Canyi Du, and Zhuyun Chen
Machines 2022, 10(4), 242; doi:10.3390/machines10040242
Each winner will receive CHF 500 and a chance to publish a paper in Machines in 2024 after peer review.
Please join us in congratulating the winners of the Machines 2022 Best Paper Award. We would also like to take this opportunity to thank all of our authors for your continued support of Machines.
Kind regards,
Machines Editorial Office
Machines 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
