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 “Machines 2023 Best Paper Award” for research and review articles published in Machines from 01 January 2023 to 31 December 2023. One review and one research article will each receive an award. The papers will be selected after a thorough evaluation by the journal Award Committee led by the Editor-in-Chief, Prof. Dr. Antonio J. Marques Cardoso.
The Prize:
– One review award: CHF 500 and a chance to publish a paper free of charge in Machines in 2025 after peer review;
– One research article award: CHF 500 and a chance to publish a paper free of charge in Machines in 2025 after peer review.
– Each winner will also receive a certificate.
The winners will be announced on the journal website in April 2025.
Kind regards,
Machines Editorial Office
Machines Best Paper Award
Winner announcement: 30 April 2025
Eligibility for the Award
– Papers published in Machines from 01 January 2023 to 31 December 2023;– Open to all career levels;
– Both regular and Special Issue submissions will be considered.
Selection Criteria
The papers will be selected by the journal Award Committee according to the following criteria:– Scientific merit and broad impact;
– Originality of the research objectives and/or the ideas presented;
– Creativity of the study design or uniqueness of the approaches and concepts;
– Clarity of presentation;
– Citations and downloads.
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
