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Energies
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Electrical Machines, Power Electronics and Electric Drives: Challenges and Research...
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Electrical Machines, Power Electronics and Electric Drives: Challenges and Research Trends

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

Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 2636
Submit your paper and select the Journal "Energies" and the Special Issue "Electrical Machines, Power Electronics and Electric Drives: Challenges and Research Trends" via: https://susy.mdpi.com/user/manuscripts/upload?journal=energies. Please contact the guest editor or the journal editor ([email protected]) for any queries.

Special Issue Editors

Prof. Dr. Ciro Attaianese

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Guest Editor
DIETI, University of Naples Federico II, 80125 Naples, Italy
Interests: Electrical machines; Power eletronics; Electric drives; transport electrification; energy storage systems
Prof. Dr. Giuseppe Tomasso

E-Mail Website
Guest Editor
DIEI M. Scarano, University of Cassino and Southern Lazio, 03043 Cassino, Italy
Interests: electrical drives; power electronics; electrical machines; electrification of transportation
Special Issues, Collections and Topics in MDPI journals
Dr. Mauro Di Monaco

E-Mail Website
Guest Editor
DIEI M. Scarano, University of Cassino and Southern Lazio, 03043 Cassino, Italy
Interests: electrical drives; power electronics; electrical machines; electrification of transportation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Nowadays, the issue of sustainable development is attracting increasing attention. According to “The 2030 Agenda for Sustainable Development”, adopted by all United Nations Member States in 2015, sustainable development claims to ensure access to affordable, reliable, sustainable and modern energy for all, build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation. In this context, the role of electric machines, power electronics and more generally, of electric drives, is crucial.

This Special Issue will be focused on novel solutions and research trends devoted to energy control, use, storage and management by means of electric machines, power electronics and electric drives

Prof. Dr. Ciro Attaianese
Prof. Dr. Giuseppe Tomasso
Dr. Mauro Di Monaco
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. 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

  • Power electronics
  • Electrical machines
  • Electric drives
  • Energy control
  • Energy storage
  • Energy management

Published Papers (1 paper)

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Research

16 pages, 7283 KiB  
Article
Short Circuit and Broken Rotor Faults Severity Discrimination in Induction Machines Using Non-invasive Optical Fiber Technology
by Belema P. Alalibo, Bing Ji and Wenping Cao
Energies 2022, 15(2), 577; https://0-doi-org.brum.beds.ac.uk/10.3390/en15020577 - 14 Jan 2022
Cited by 3 | Viewed by 1354
Abstract
Multiple techniques continue to be simultaneously utilized in the condition monitoring and fault detection of electric machines, as there is still no single technique that provides an all-round solution to fault finding in these machines. Having various machine fault-detection techniques is useful in [...] Read more.
Multiple techniques continue to be simultaneously utilized in the condition monitoring and fault detection of electric machines, as there is still no single technique that provides an all-round solution to fault finding in these machines. Having various machine fault-detection techniques is useful in allowing the ability to combine two or more in a manner that will provide a more comprehensive application-dependent condition-monitoring solution; especially, given the increasing role these machines are expected to play in man’s transition to a more sustainable environment, where many more electric machines will be required. This paper presents a novel non-invasive optical fiber using a stray flux technique for the condition monitoring and fault detection of induction machines. A giant magnetostrictive transducer, made of terfenol-D, was bonded onto a fiber Bragg grating, to form a composite FBG-T sensor, which utilizes the machines’ stray flux to determine the internal condition of the machine. Three machine conditions were investigated: healthy, broken rotor, and short circuit inter-turn fault. A tri-axial auto-data-logging flux meter was used to obtain stray magnetic flux measurements, and the numerical results obtained with LabView were analyzed in MATLAB. The optimal positioning and sensitivity of the FBG-T sensor were found to be transverse and 19.3810 pm/μT, respectively. The experimental results showed that the FBG-T sensor accurately distinguished each of the three machine conditions using a different order of magnitude of Bragg wavelength shifts, with the most severe fault reaching wavelength shifts of hundreds of picometres (pm) compared to the healthy and broken rotor conditions, which were in the low-to-mid-hundred and high-hundred picometre (pm) range, respectively. A fast Fourier transform (FFT) analysis, performed on the measured stray flux, revealed that the spectral content of the stray flux affected the magnetostrictive behavior of the magnetic dipoles of the terfenol-D transducer, which translated into strain on the fiber gratings. Full article
(This article belongs to the Special Issue Electrical Machines, Power Electronics and Electric Drives: Challenges and Research Trends)
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