Data-Driven Methods for Design and Analysis of Electromagnetic Devices: 3rd Edition

Dear Colleagues,

Electromagnetic devices have been widely employed in domestic appliances and industrial equipment as, for example, electrical drive systems for electrical vehicles. In the context of Industry 4.0, their analysis methods are experiencing significant progress and innovation due to the integration of industrial big data. To facilitate this progress, data-driven approaches have been investigated in the modelling, design, optimization, condition monitoring, and reliability and robustness evaluation of electromagnetic devices and systems, such as the data-driven design optimization method in permanent magnet motors in electric vehicles and data-driven fault diagnosis methods for wind power generators. These new models and analysis methods will benefit the development of digital twins for electromagnetic devices.

This Special Issue aims to present a collection of scientific manuscripts covering the theoretical and practical aspects associated with data-driven methods for the design and analysis of electromagnetic devices and systems. State-of-the-art and emerging developments in this field are welcome. Topics may include, but are not limited to, the following:

• Model-based analysis and design optimization of electromagnetic devices;
• Data-driven modelling of electromagnetic devices;
• Data-driven design optimization of electromagnetic devices;
• Data-driven methods for the devices’ control systems;
• Data-driven condition monitoring methods for electromagnetic devices;
• Evaluation of reliability and robustness;
• Hybrid data-driven and model-based methods.

Dr. Gang Lei
Prof. Dr. Youguang Guo
Prof. Dr. Jianguo Zhu
Prof. Dr. Yujiao Zhang
Dr. Bo Ma
Guest Editors

Manuscript Submission Information

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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.