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Energies
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Reliability and Condition Monitoring of Electric Motors and Drives
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Reliability and Condition Monitoring of Electric Motors and Drives

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

Deadline for manuscript submissions: 31 July 2024 | Viewed by 553

Special Issue Editors

Dr. Paolo Giangrande

E-Mail Website
Guest Editor
Department of Engineering and Applied Sciences, University of Bergamo, 24129 Bergamo, Italy
Interests: rotating electrical machines; fault-tolerant design and control; lifetime modelling; partial discharge; reliability-oriented design; thermal management
Dr. Marcello Minervini

E-Mail Website
Guest Editor
Department of Engineering and Applied Sciences, University of Bergamo, 24129 Bergamo, Italy
Interests: electrical machines; diagnostics of electrical machines; predictive maintenance; motor current signature analysis; stray flux analysis; vibration analysis

Special Issue Information

Dear Colleagues,

The growing demand for more energy-efficient technologies is acting as a driving force in the development of lightweight and high-power density electric drives intended for applications ranging from industry to the transport sector. Nevertheless, failures occurring in electric drive components (i.e., motor, power converter, battery) might lead to significant consequences in terms of economic losses and down-times. Therefore, condition-monitoring technology, fault-tolerant design, and enhanced reliability represent viable solutions for preventing and minimizing failure outcomes.

This Special Issue intends to collect original research, practical contributions, and review articles on the condition monitoring and fault‑tolerant design of electrical machines and drives. Research studies on insulation aging mechanisms, lifetime prediction, and partial discharge are also invited.

Topics of interest include but are not limited to:

  • Condition monitoring and signal processing;
  • Fault-tolerant electrical machines and drives;
  • Advanced control algorithms for improving reliability;
  • Modelling, detection, and measurement of partial discharge;
  • Accelerated aging tests on electrical machine insulation;
  • Insulation lifetime modelling and prediction;
  • Prediction and diagnostics of inter-turn short circuits, bearing faults, broken rotor bars, eccentricity, and manufacturing defects.

Dr. Paolo Giangrande
Dr. Marcello Minervini
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

  • condition monitoring
  • fault tolerance
  • dielectric breakdown
  • partial discharge
  • diagnostics
  • lifetime forecasting

Published Papers (1 paper)

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Review

30 pages, 9870 KiB  
Review
Insulation for Rotating Low-Voltage Electrical Machines: Degradation, Lifetime Modeling, and Accelerated Aging Tests
by Xuanming Zhou, Paolo Giangrande, Yatai Ji, Weiduo Zhao, Salman Ijaz and Michael Galea
Energies 2024, 17(9), 1987; https://doi.org/10.3390/en17091987 - 23 Apr 2024
Viewed by 258
Abstract
The low-voltage electric machine (EM) is a core technology for transportation electrification, and features like high power density and compact volume are essential prerequisites. However, these requirements are usually in conflict with the reliability property of EM, especially in the safety-critical industry such [...] Read more.
The low-voltage electric machine (EM) is a core technology for transportation electrification, and features like high power density and compact volume are essential prerequisites. However, these requirements are usually in conflict with the reliability property of EM, especially in the safety-critical industry such as aviation. Therefore, an appropriate balance between high-performance and reliability needs to be found. Often, the over-engineering method is applied to ensure safety, although it might have a detrimental effect on the EM volume. To address this issue, the EM reliability assessment is included at the EM design stage through the physics of failure (PoF) theory. In EMs, the windings play a key role in electromechanical energy conversion, but their insulation system is subject to frequent failure and represents a reliability bottleneck. Therefore, in-depth research on the root causes of insulation breakdown is beneficial for EM reliability improvement purposes. Indeed, increasing awareness and knowledge on the mechanism of the insulation degradation process and the related lifetime modeling enables the growth of appropriate tools for achieving reliability targets since the first EM design steps. In this work, the main aspects of the insulation system, in terms of materials and manufacturing, are first reviewed. Then, the principal stresses experienced by the winding insulation system are deeply discussed with the purpose of building a profound understanding of the PoF. Finally, an overview of the most common insulation lifetime prediction models is presented, and their use for accomplishing the reliability-oriented design (RoD) and the remaining useful life (RUL) estimation are examined. Full article
(This article belongs to the Special Issue Reliability and Condition Monitoring of Electric Motors and Drives)
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