Data-Driven Methods for Design and Analysis of Electromagnetic Devices: 2nd Edition

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: closed (20 April 2024) | Viewed by 896

Special Issue Editors

School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia
Interests: computational electromagnetics; advanced electrical machines and drive systems for electric vehicles; optimal energy management systems for microgrids and virtual power plants; multidisciplinary design optimization methods based on AI and cloud services
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Guest Editor
Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW 2007, Australia
Interests: advanced electrical machine design and optimization; measurement and modeling of magnetic properties of magnetic materials; multi-disciplinary analysis and system-level robust optimisation of electromagnetic devices; electric motor drives and control
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Guest Editor
School of Electrical and Information Engineering, The University of Sydney, Camperdown, NSW 2006, Australia
Interests: electromagnetic and coupled multi-physical field analysis; measurement and modeling of magnetic properties of materials; optimum design of electromagnetic devices and systems; novel electrical machines and drive systems, power systems, and renewable energy technologies
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Guest Editor
School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
Interests: electromagnetic field; numerical analysis; multi-physics coupling and its application in engineering
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Guest Editor Assistant
College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Interests: multi-physical field analysis; topology optimization methods; design and thermal management of electrical machines and drive systems

Special Issue Information

Dear Colleagues,

Electromagnetic devices have been widely employed in domestic appliances and industrial equipment, for example, as 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 twin 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
Guest Editors

Dr. Bo Ma
Guest Editor Assistant

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

  • 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

Published Papers (1 paper)

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Research

17 pages, 2464 KiB  
Article
Comprehensive Evaluation of NIMBY Phenomenon with Fuzzy Analytic Hierarchy Process and Radar Chart
by Jian Wu, Ziyu Wang, Xiaochun Bai and Nana Duan
Appl. Sci. 2024, 14(6), 2654; https://doi.org/10.3390/app14062654 - 21 Mar 2024
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Abstract
The risk level of the NIMBY (Not In My Back Yard) phenomenon is crucial for the safety and economy of transmission and transformation projects which is rarely studied, especially for site selection and the construction of transmission lines and substations. In order to [...] Read more.
The risk level of the NIMBY (Not In My Back Yard) phenomenon is crucial for the safety and economy of transmission and transformation projects which is rarely studied, especially for site selection and the construction of transmission lines and substations. In order to effectively evaluate the risk level to solve the dilemma caused by the NIMBY phenomenon, an evaluation method for quantifying the level of the NIMBY phenomenon is proposed. In this paper, thirty-one evaluation criteria and a risk model are put forward according to relevant laws and regulations that should be followed in the transmission and transformation project in China, then the scores corresponding to these criteria are obtained by a questionnaire survey. The radar chart method and minimum area method are applied to determine the weights of the element and unit layers. Furthermore, the overall risk level is evaluated by the fuzzy comprehensive evaluation method. In addition, a transmission and transformation project in Xi’an City, China, is used as an example to verify the correction of the risk model and its evaluation method. The results show that the weaknesses in the transmission and transformation project are analyzed, and suggestions for decreasing the risk level are put forward to minimize losses due to the NIMBY phenomenon. Full article
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