Best Paper Award

The Machines Best Paper Award is granted annually to highlight publications of high quality, scientific significance, and extensive influence. The evaluation committee members choose two articles of exceptional quality that were published in the journal in 2025 and announce them online by the end of April 2027.

The Prize:

– One research article and one review will be selected.
– For each winning paper, we will award 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.

Award FAQ

 
Machines Best Paper Award
 
Winner announcement: 30 April 2027

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 uniqueness of the approaches and concepts;
– Clarity of presentation;
– Citations and downloads.

 
Past Winners
 
Year: 

Winner

17 pages, 285 KB  
Review
Equipment and Operations Automation in Mining: A Review
by Michael Long, Steven Schafrik, Peter Kolapo, Zach Agioutantis and Joseph Sottile
Machines 2024, 12(10), 713; https://doi.org/10.3390/machines12100713 - 9 Oct 2024
18 pages, 10226 KB  
Article
Hybrid Deep Learning Model for Fault Diagnosis in Centrifugal Pumps: A Comparative Study of VGG16, ResNet50, and Wavelet Coherence Analysis
by Wasim Zaman, Muhammad Farooq Siddique, Saif Ullah, Faisal Saleem and Jong-Myon Kim
Machines 2024, 12(12), 905; https://doi.org/10.3390/machines12120905 - 10 Dec 2024

Award Committee

Prof. Dr. Antonio J. Marques Cardoso Chairperson
CISE | University of Beira Interior (UBI)
Dr. Stefano Mariani
Politecnico di Milano
Prof. Dr. Francisco J. G. Silva
ISEP - School of Engineering, Polytechnic of Porto
Prof. Konstantinos Kyprianidis
Malardalen University

Winner

28 pages, 3520 KB  
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 - 12 May 2023
21 pages, 11083 KB  
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 - 1 Feb 2023

Award Committee

Prof. Dr. Antonio J. Marques Cardoso Chairperson
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

134 pages, 7014 KB  
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; https://doi.org/10.3390/machines10030208 - 14 Mar 2022
20 pages, 9649 KB  
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; https://doi.org/10.3390/machines10040242 - 30 Mar 2022

Award Committee

Prof. Dr. Antonio J. Marques Cardoso Chairperson
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

35 pages, 771 KB  
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; https://doi.org/10.3390/machines9090197 - 13 Sep 2021
16 pages, 5771 KB  
Article
Dual-Motor Planetary Transmission to Improve Efficiency in Electric Vehicles
by Giacomo Mantriota and Giulio Reina
Machines 2021, 9(3), 58; https://doi.org/10.3390/machines9030058 - 11 Mar 2021
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