Health Condition Monitoring, Intelligent Operation and Maintenance of Wind Turbines
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Turbomachinery".
Deadline for manuscript submissions: 15 March 2026 | Viewed by 117
Special Issue Editors
Interests: offshore wind power; health monitoring and fault diagnosis; offshore platform structures; marine engineering structure design; high-end marine engineering equipment
Special Issues, Collections and Topics in MDPI journals
Interests: offshore wind power; signal processing; health monitoring and fault diagnosis; energy harvesting and wireless sensing
Interests: health monitoring; intelligent operation; maintenance; signal processing; intelligent fault diagnosis; remaining useful life prediction
Special Issues, Collections and Topics in MDPI journals
Interests: digital signal processing; tool condition monitoring; fault diagnosis; power systems analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the continuous global growth in demand for clean energy, wind power generation, as a significant form of renewable energy generation, has been widely adopted. Wind turbine generators are typically installed in either terrestrial or marine environments. During long-term operation, due to the complex and harsh environments they are exposed to, various components of the units are prone to wear, fatigue, and other faults. In particular, the drive train system, as a critical link in energy transfer within wind turbine generators, directly impacts the units' power generation efficiency, operational reliability, and service life. Therefore, conducting research on the health condition monitoring and intelligent operation and maintenance (O&M) of wind turbine generators is of great significance for ensuring the stable operation of wind power generation systems, reducing O&M costs, and improving energy utilization efficiency.
This Special Issue focuses on the health condition monitoring and intelligent O&M of wind turbine generators. It aims to gather the latest research findings and advancements in relevant fields both domestically and internationally, facilitate academic exchanges, and promote the development and application of intelligent O&M technologies for wind turbines. The topics of interest for this Special Issue include, but are not limited to, the following:
- Intelligent sensing technologies;
- Advanced signal processing algorithms;
- Dynamic modeling and fault simulation of key components;
- Fault warning and identification of key components in wind turbine generators;
- Remaining useful life prediction based on deep learning;
- Digital twin-driven fault diagnosis of wind turbines;
- Knowledge graph and large-model technologies;
- Research on O&M technologies and modes for offshore wind power in deep and far sea areas;
- Predictive maintenance strategies for wind turbine generators.
Prof. Dr. Ronghua Zhu
Dr. Cailiang Zhang
Dr. Chaoge Wang
Dr. Zepeng Liu
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. 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
- wind turbines
- digital twin
- fault diagnosis
- predictive maintenance
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
