Advances in Condition Monitoring of Distributed Energy Equipment and Systems
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Machines Testing and Maintenance".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 74
Special Issue Editors
Interests: intelligent modeling; data analysis; fault diagnosis of power and related energy systems
Interests: adaptive control; fuzzy control; multi-agent systems control; finite-time control; event-triggered control and their applications
Special Issue Information
Dear Colleagues,
With the large-scale integration of renewable energy and the electrification process on the load side, a variety of equipment with distinct characteristics, such as loads and energy storage systems, is being connected to distributed energy systems. The operational patterns of these systems are undergoing significant changes, with increasing complexity and growing challenges in coping with extreme operating conditions and disturbances. Data monitoring, status detection, fault diagnosis, and the performance evaluation of equipment and systems have become increasingly important in research to ensure the reliable, safe, high-quality, low-carbon, and economical operation of distributed energy systems.
This Special Issue aims to collate the latest developments and emerging trends in the condition monitoring of distributed energy equipment and systems, with a focus on advancements in key components and the integration of new technologies. It provides a comprehensive platform for researchers and industry professionals to share their knowledge, insights, and experiences in this critical field.
The potential subtopics of this Special Issue include but are not limited to:
- Simulation design and modeling analysis;
- Multi-physics sensing and multi-source information fusion technologies;
- Intelligent fault identification and diagnosis;
- Lifetime prediction and remaining useful life estimation;
- Non-invasive or non-destructive monitoring;
- Applications of cloud-based monitoring platforms.
Dr. Xuguang Hu
Dr. Yang Liu
Dr. Guangliang Liu
Guest Editors
Manuscript Submission Information
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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
- simulation modeling
- multi-physics sensing
- information fusion
- intelligent fault diagnosis
- lifetime prediction
- remaining useful life estimation
- non-destructive monitoring
- cloud platform application
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