Condition Monitoring and Reliability Enhancement of Electromechanical and Energy Systems

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Electromechanical Energy Conversion Systems".

Deadline for manuscript submissions: 30 June 2026 | Viewed by 1

Special Issue Editor


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Guest Editor
Institute of Systems Engineering and Information Technology (IESTI), Federal University of Itajuba (UNIFEI), Itajuba 37500-903, Brazil
Interests: electric machines; power electronics; condition-based maintenance; control systems
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Special Issue Information

Dear Colleagues,

Electromechanical and energy systems are at the core of the global transition toward more efficient, reliable, and sustainable technologies. As industries strive to reduce carbon emissions and improve energy efficiency, maintaining the operational integrity of key components (such as electric machines, power converters, and energy storage systems) has become increasingly critical. The intermittency inherent to renewable energy sources, coupled with demanding operating conditions, introduces significant challenges for ensuring system stability and performance. Advanced condition monitoring and reliability enhancement strategies are therefore essential to detect early degradation, prevent catastrophic failures, and prolong the life of critical assets. Leveraging emerging tools such as artificial intelligence, digital twins, and smart sensing can dramatically improve system reliability, reduce maintenance costs, and support the sustainable operation of low-carbon energy infrastructures.

We are pleased to invite you to contribute your research—whether from academia or industry—on topics related to condition monitoring and reliability enhancement of electromechanical and energy systems.

In this Special Issue, original research articles and reviews are welcome. Research areas may include, but are not limited to, sensors and instrumentation, digital twins, and signal processing techniques and algorithms designed to improve the operation and enable early failure detection in the following areas:

- Power electronic converters and semiconductor devices;

- Battery energy storage systems;

- Hydrogen electrolyzers and fuel cells;

- Power transformers and high-voltage equipment;

- Electrical generators, PV, and wind systems;

- Motors and drives;

- Electromechanical systems in general (e.g., drones, robotics).

Dr. Wilson Cesar Sant'Ana
Guest Editor

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. Machines is an international peer-reviewed open access monthly 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

  • condition monitoring
  • reliability enhancement
  • electromechanical systems
  • energy systems
  • renewable energy systems
  • fault diagnosis
  • predictive maintenance
  • sensors and instrumentation

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Published Papers

This special issue is now open for submission.
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