Vibration Energy Harvesting and Intelligent Monitoring for Rotating Machinery
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Machines Testing and Maintenance".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 13
Special Issue Editors
Interests: mechanical dynamics and vibration analysis; advanced sensing testing and diagnostic methods; structural vibration and noise control; vibration energy harvesting
Interests: triboelectric nanogenerators; rotor dynamics and fault diagnosis
Special Issue Information
Dear Colleagues,
Rotating machinery serves as a core component of modern industrial systems, with wide applications in aerospace, energy, transportation, etc. Its operational conditions are closely tied to equipment reliability. The vibration signals generated during operation contain rich information about machine states, making the study of vibration characteristics, testing, and monitoring technologies a long-standing research focus. In recent years, rapid advancements in micro/nano-fabrication, wireless communication, and artificial intelligence have driven significant progress in vibration testing and intelligent monitoring of rotating machinery. Notably, innovations in embedded device design, wireless sensing systems, vibration energy harvesting and self-powered monitoring, and deep learning-based fault diagnosis models have shown great potential. These technologies enable the precise sensing of components in complex systems and support the shift from wired, centralized monitoring to low-power, autonomous, and distributed wireless sensing networks. This Special Issue aims to gather the latest research and practical advances in this field, focusing on (but not limited to) the following topics:
- Dynamic modeling and vibration analysis of rotating machinery;
- Vibration testing and in situ measurement methods;
- Embedded monitoring systems;
- Self-powered sensor design;
- Deployment and robustness of wireless sensor networks;
- Intelligent monitoring of critical components in aero-engines;
- Fault mechanism analysis and diagnostic techniques;
- AI-enabled condition monitoring.
Dr. Qingyu Zhu
Dr. Xiantao Zhang
Prof. Dr. Zhaoye Qin
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
- rotating machinery
- rotor dynamics
- vibration energy harvesting
- self-powered sensors
- intelligent monitoring
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.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
