Advances in Diagnostic Analysis, Strategic Management, and Proactive Maintenance of Electrical Equipment—2nd Edition
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".
Deadline for manuscript submissions: 10 April 2026 | Viewed by 78
Special Issue Editors
Interests: electrical equipment intelligent diagnosis and health management; high-reliability pulsed power technology; power equipment life-cycle management; advanced detection technology development
Special Issues, Collections and Topics in MDPI journals
Interests: condition monitoring of power equipment; study on the mechanism of high voltage discharge; intelligent diagnosis and condition prediction of power equipment based on artificial intelligence algorithm
Special Issues, Collections and Topics in MDPI journals
Interests: high voltage, aging of insulation material; high-voltage power electronics-based test sources; diagnostics and monitoring; medium-frequency transformers; power transformers; power cables; FEM-based modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The growing complexity of electrical systems in modern industries and infrastructure makes the reliability and efficiency of electrical equipment more crucial than ever. The challenges of aging equipment, system integration, and the increasing demand for energy efficiency require advanced diagnostic methods, predictive maintenance strategies, and robust management techniques. Proactive maintenance is a critical component in ensuring the longevity and functionality of electrical systems across various applications, including power generation, transportation, and industrial operations.
This Special Issue aims to present and disseminate the latest advancements in the diagnostic analysis, strategic management, and proactive maintenance of electrical equipment. We invite contributions that explore innovative approaches to condition monitoring, fault detection, predictive maintenance, and the optimization of asset management strategies. This issue seeks to bridge the gap between cutting-edge research and its practical applications in real-world settings.
Topics of interest for publication include, but are not limited to:
- Advanced diagnostic techniques and tools for fault detection and prognosis in electrical systems.
- Predictive maintenance strategies for critical electrical infrastructure and industrial applications.
- Data-driven approaches to condition monitoring using machine learning and artificial intelligence.
- Reliability-centered maintenance (RCM) and risk-based asset management strategies.
- Lifecycle management and optimization of electrical equipment.
- Applications of real-time monitoring and remote diagnostics in electrical equipment.
- The role of big data and IoT in proactive maintenance and fault prevention.
- Development and application of fault-tolerant strategies in electrical systems.
- Case studies on successful implementations of advanced maintenance techniques in energy, transportation, and industrial sectors.
We welcome high-quality research that contributes to the development of innovative maintenance strategies and management frameworks, ultimately improving the performance and sustainability of electrical systems.
Dr. Xiaozhen Zhao
Dr. Yiming Zang
Dr. Mohamad Ghaffarian
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 250 words) can be sent to the Editorial Office for assessment.
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
- fault detection
- predictive maintenance
- condition monitoring
- electrical equipment reliability
- asset management
- proactive maintenance strategies
- lifecycle management
- machine learning in maintenance
- data-driven diagnostic tools
- real-time monitoring
- smart grids
- equipment failure prediction
- advanced diagnostic techniques
- industrial internet of things (IoT)
- big data in power systems
- energy infrastructure management
- electrical system health monitoring
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