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Applications of Electrical and Electronic Technologies in Aerospace Engineering

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Aerospace Science and Engineering".

Deadline for manuscript submissions: 20 November 2025 | Viewed by 825

Special Issue Editors


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Guest Editor
Faculty of Mathematics and Information Technology, Lublin University of Technology, 20-560 Lublin, Poland
Interests: aircraft; aerospace and automotive engineering; plasma actuators; ozone generation; DBD plasma; plasma arc; sensors and sensor systems

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Guest Editor
ONERA/DTIS, Université de Toulouse, 31000 Toulouse, France
Interests: safety engineering; uncertainty management in complex aerospace systems (reliability, sensitivity analysis, surrogate modeling, etc.)
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Faculty of Mathematics and Information Technology, Lublin University of Technology, 20-560 Lublin, Poland
Interests: ozone generation; DBD plasma; plasma arc; sensors and sensor systems

Special Issue Information

Dear Colleagues,

Modern aircraft are technologically advanced structures where electrical and electronic systems play a crucial role. These systems are responsible for the operation of a wide range of sensors and measurement devices, such as onboard instruments, navigation systems, control units, engines, fuel, and hydraulic systems, as well as passenger safety systems. The functioning of these systems relies on the processing of electrical and electronic signals gathered from various sensors. The trend toward reducing human involvement in aviation operations is most evident in the automation of aircraft control systems, made possible by the implementation of advanced electronic technologies, particularly in the case of unmanned aerial vehicles (UAVs). Throughout the cycle of aircraft design, testing, and development, electrical and electronic technologies, including sensor systems and measurement units, are essential, regularly providing the necessary data for analysis and optimization of aircraft design. This Special Issue of Applied Sciences focuses on innovative solutions and research in applications of electrical and electronic technologies in aerospace engineering, which contribute to advancements in this rapidly evolving field.

Original manuscripts on the following topics are welcome:

  • Development of propulsion systems based on electric engines in aviation;
  • Intelligent aircraft condition monitoring systems;
  • Electrical power management systems in modern aircraft;
  • Development of emergency power systems in modern aerospace designs;
  • Advanced control and automation systems in autonomous aviation (UAV);
  • Modern LED lighting technologies in aviation;
  • Application of piezoelectric materials in vibration monitoring systems;
  • Use of integrated electronic/electric systems to enhance aircraft aerodynamics;
  • Diagnostic systems based on the Internet of Things (IoT) in aviation;
  • Renewable energy and charging systems in electric aircraft.

Manuscripts of research papers; experimental, analytical, and design studies; and literature reviews, applications, and technology demonstrations are welcome.

Prof. Dr. Ernest Gnapowski
Prof. Dr. Jérôme Morio
Dr. Sebastian Gnapowski
Guest Editors

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. Applied Sciences 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 2400 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

  • aircraft
  • aerospace and automotive engineering
  • plasma actuators
  • sensors and sensors systems

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Published Papers (1 paper)

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Research

17 pages, 3209 KiB  
Article
Real-Time Image Analysis for Intelligent Aircraft De-Icing Decision Support Systems
by Sylwester Korga
Appl. Sci. 2025, 15(14), 7752; https://doi.org/10.3390/app15147752 - 10 Jul 2025
Viewed by 171
Abstract
Aircraft icing and snow accumulation are significant threats to flight safety and operational efficiency, necessitating rapid and accurate detection methods. The aim of this study was to develop and comparatively evaluate artificial intelligence (AI) models for the real-time detection of ice and snow [...] Read more.
Aircraft icing and snow accumulation are significant threats to flight safety and operational efficiency, necessitating rapid and accurate detection methods. The aim of this study was to develop and comparatively evaluate artificial intelligence (AI) models for the real-time detection of ice and snow on aircraft surfaces using vision systems. A custom dataset of annotated aircraft images under various winter conditions was prepared and augmented to enhance model robustness. Two training approaches were implemented: an automatic process using the YOLOv8 framework on the Roboflow platform and a manual process in the Google Colab environment. Both models were evaluated using standard object detection metrics, including mean Average Precision (mAP) and mAP@50:95. The results demonstrate that both methods achieved comparable detection performance, with final mAP50 values of 0.25–0.3 and mAP50-95 values around 0.15. The manual approach yielded lower training losses and more stable metric progression, suggesting better generalization and a reduced risk of overfitting. The findings highlight the potential of AI-driven vision systems to support intelligent de-icing decision-making in aviation. Future research should focus on refining localization, minimizing false alarms, and adapting detection models to specific aircraft components to further enhance operational safety and reliability. Full article
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