Machines 2023, 11(5), 550; https://doi.org/10.3390/machines11050550 - 12 May 2023
Best Paper Award
The Machines Best Paper Award is granted annually to highlight high quality publications of scientific significance and extensive influence. The evaluation committee members choose two articles of exceptional quality that were published in the journal in 2024 and announce them online by the end of April 2026.
The Prize:
– One research article and one review will be selected.
– Each winner will receive CHF 500, a certificate, and a voucher to waive the Article Processing Charges (APCs) for one submission in the journal (subject to peer review), valid for one year.
Machines Best Paper Award
Winner announcement: 30 April 2026
Eligibility and Requirements
– All papers published in Machines will be eligible (both regular and Special Issue submissions).
Selection Criteria
– Scientific merit and broad impact;
– Originality of the research objectives and/or the ideas presented;
– Creativity of the study design or the uniqueness of the approaches and concepts;
– Clarity of presentation;
– Citations and downloads.
Past Winners
Year:
Winner
Bearing Current and Shaft Voltage in Electrical Machines: A Comprehensive Research Review
A Deep-Learning-Based Approach for Aircraft Engine Defect Detection
Machines 2023, 11(2), 192; https://doi.org/10.3390/machines11020192 - 1 Feb 2023
Award Committee
Prof. Dr. Antonio J. Marques Cardoso
Chairman
CISE | University of Beira Interior (UBI)
Dr. Minsoo Kim
ETH Zurich
Dr. Stefano Mariani
Politecnico di Milano
Prof. Dr. Francisco J. G. Silva
ISEP - School of Engineering, Polytechnic of Porto
Winner
A Comprehensive Survey on Fault Tolerance in Multiphase AC Drives, Part 1: General Overview Considering Multiple Fault Types
Machines 2022, 10(3), 208; https://doi.org/10.3390/machines10030208 - 14 Mar 2022
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
