Advances in Monitoring and Fault Diagnosis for Power Equipment
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".
Deadline for manuscript submissions: 20 September 2025 | Viewed by 110
Special Issue Editors
Interests: intelligent design of power equipment; wireless energy transmission technology
Special Issues, Collections and Topics in MDPI journals
Interests: AI-driven plasma modeling; plasma basic data calculation; reduced order modeling and digital twin; eco-friendly gases for insulation and arc quenching; computer vision and federated learning for power maintenance
Special Issue Information
Dear Colleagues,
The reliable and efficient operation of power equipment is paramount to ensuring the stability and security of modern power systems. However, power equipment is constantly subjected to various stresses during operation, leading to potential failures that can result in significant economic losses and safety hazards. Therefore, developing advanced monitoring and fault diagnosis techniques is crucial for the early detection, accurate identification, and timely mitigation of potential faults in power equipment.
This Special Issue, "Advances in Monitoring and Fault Diagnosis for Power Equipment", aims to provide a platform for researchers and engineers to share their latest findings and innovations in this critical field. We seek high-quality original research articles and comprehensive reviews that address the challenges and opportunities in advanced sensing technologies, signal processing and feature extraction, fault diagnosis and prediction models, condition monitoring and health management, and applications in various power equipment.
This Special Issue will contribute to the advancement of knowledge and technology in power equipment monitoring and fault diagnosis, ultimately leading to the improved reliability, safety, and efficiency of power systems. We believe that the published research will be of great interest to a wide range of readers, including researchers, engineers, and practitioners in the field of power systems and related disciplines.
Dr. Huan Yuan
Dr. Linlin Zhong
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. Applied Sciences 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 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
- power equipment
- condition monitoring
- fault diagnosis
- signal processing
- machine learning
- artificial intelligence
- predictive maintenanc
- power system reliability
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