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Modern Aspects of the Design and Operation of Electric Machines
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Modern Aspects of the Design and Operation of Electric Machines

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".

Deadline for manuscript submissions: 20 March 2026 | Viewed by 989

Special Issue Editor

Dr. Marcin Pepliński

E-Mail Website
Guest Editor
Department of Ship Electrical Power Engineering, Gdynia Maritime University, 81-225 Gdynia, Poland
Interests: power losses; heating and vibration of induction motors in the conditions of power quality disturbances
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to announce this Special Issue on the topic of “Modern Aspects of the Design and Operation of Electric Machines”. Electric machines perform very important tasks in the modern world, both generating electricity and driving many devices. Therefore, new technologies used in electric machines to improve their parameters are particularly desirable. Additionally, various aspects concerning electric machine operation and their design optimization are of the greatest importance. These aspects include issues related to the design of an electrical machine, such as the selection of appropriate materials and optimization of the construction of electric machines. They also cover all issues related to the operation of electrical machines, such as diagnostics of the effect of power quality disturbances, low-quality voltage supply, or new methods of detecting and preventing the electrical machines malfunctions.

For this Special Issue, we encourage the submission of original contributions and review papers regarding all modern aspects of design, operation of electric machines and power-quality-related phenomena in all types of electric machines. Potential topics may include, but are not limited to design, optimalization, and new technologies used in electric machines.  In addition, any aspects related to reliability and durability of electrical machines, the generation of power quality disturbances by electrical machines, proposals of modification of power quality standards and rules in order to protect electrical machines against malfunctions due to excessive power quality disturbances.

Dr. Marcin Pepliński
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • electric machines
  • operation
  • design
  • power quality
  • optimization

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Published Papers (2 papers)

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Research

31 pages, 5080 KB  
Article
Deep Learning Models Applied Flowrate Estimation in Offshore Wells with Electric Submersible Pump
by Josenílson G. Araújo, Hellockston G. Brito, Marcus V. Galvão, Carla Wilza S. P. Maitelli and Adrião D. Doria Neto
Energies 2025, 18(19), 5311; https://doi.org/10.3390/en18195311 - 9 Oct 2025
Viewed by 453
Abstract
To address the persistent challenge of reliable real-time flowrate estimation in complex offshore oil production systems using Electric Submersible Pumps (ESPs), this study proposes a hybrid modeling approach that integrates a first-principles hydrodynamic model with Long Short-Term Memory (LSTM) neural networks. The aim [...] Read more.
To address the persistent challenge of reliable real-time flowrate estimation in complex offshore oil production systems using Electric Submersible Pumps (ESPs), this study proposes a hybrid modeling approach that integrates a first-principles hydrodynamic model with Long Short-Term Memory (LSTM) neural networks. The aim is to enhance prediction accuracy across five offshore wells (A through E) in Brazil, particularly under conditions of limited or noisy sensor data. The methodology encompasses exploratory data analysis, preprocessing, model development, training, and validation using high-frequency operational data, including active power, frequency, and pressure, all collected at one-minute intervals. The LSTM architectures were tailored to the operational stability of each well, ranging from simpler configurations for stable wells to more complex structures for transient systems. Results indicate that prediction accuracy is strongly correlated with operational stability: LSTM models achieved near-perfect forecasts in stable wells such as Well E, with minimal residuals, and effectively captured cyclical patterns in unstable wells such as Well B, albeit with greater error dispersion during abrupt transients. The model also demonstrated adaptability to planned interruptions, as observed in Well A. Statistical validation using ANOVA, Levene’s test, and Tukey’s HSD confirmed significant performance differences (α < 0.01) among the wells, underscoring the importance of well-specific model tuning. This study confirms that the LSTM-based hybrid approach is a robust and scalable solution for real-time flowrate forecasting in digital oilfields, supporting production optimization and fault detection, while laying the groundwork for future advances in adaptive and interpretable modeling of complex petroleum systems. Full article
(This article belongs to the Special Issue Modern Aspects of the Design and Operation of Electric Machines)
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29 pages, 125736 KB  
Article
Transmission of Mechanical Vibrations in an Electric Drive Unit with Scalar Control—Comparative Analysis with Evaluation Based on Experimental Studies
by Adam Muc and Agata Bielecka
Energies 2025, 18(19), 5140; https://doi.org/10.3390/en18195140 - 27 Sep 2025
Viewed by 348
Abstract
Vibration monitoring plays a crucial role in assessing the condition and operational safety of electric drive systems. In many industrial applications, scalar control is widely used due to its simplicity and reliability, yet its influence on vibration transmission within interconnected machines remains insufficiently [...] Read more.
Vibration monitoring plays a crucial role in assessing the condition and operational safety of electric drive systems. In many industrial applications, scalar control is widely used due to its simplicity and reliability, yet its influence on vibration transmission within interconnected machines remains insufficiently explored. This study addresses the problem of understanding how mechanical vibrations are transmitted between a scalar-controlled induction motor coupled with an AC generator. A comparative experimental investigation was conducted using two different configurations of drive units, incorporating either an induction or a synchronous generator. Vibrations were measured at various operating speeds and analysed using different sensor types to ensure repeatability and reliability of the results. The findings have revealed distinct patterns of vibration transmission between the motor and generator, highlighting the importance of drive system configuration and measurement methodology. A novel approach to data presentation is proposed by normalising vibration levels between machines, offering a clearer interpretation of vibration amplification or damping effects. The results contribute to the development of diagnostic techniques and the optimisation of scalar-controlled drive designs. Full article
(This article belongs to the Special Issue Modern Aspects of the Design and Operation of Electric Machines)
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