Advanced Condition Monitoring and Predictive Maintenance for Mechatronic-Hydraulic Systems
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Electrical Machines and Drives".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 264
Special Issue Editors
Interests: industrial big data analysis; artificial intelligence algorithm; signal analysis and processing; machine health monitoring
Special Issues, Collections and Topics in MDPI journals
Interests: noise and vibration control in fluid power; artificial intelligence in fault diagnosis of fluid power components and systems
Special Issues, Collections and Topics in MDPI journals
Interests: smart hydraulic components; health monitoring and intelligent maintenance; digital twins of electro-hydraulic systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As indispensable components in aerospace, intelligent manufacturing, and energy industries, mechatronic-hydraulic systems present distinctive challenges for condition monitoring and predictive maintenance. Their hybrid integration of mechanical, electronic, and hydraulic subsystems, coupled with multi-modal interactions under dynamic and often harsh operating conditions, necessitates innovative monitoring approaches that transcend traditional single-domain diagnostic techniques. This complexity demands advanced sensor fusion strategies, robust data-driven prognostic models, and adaptive maintenance frameworks capable of addressing cross-disciplinary failure mechanisms.
This Special Issue calls for original research submissions focusing on recent advances in diagnostic and prognostic technologies for mechatronic-hydraulic systems. We particularly welcome groundbreaking research that pioneers novel methodological frameworks or demonstrates the transformative real-world implementation of algorithms on complex engineering systems. Through this Special Issue, we aim to provide researchers and practitioners with valuable, cutting-edge knowledge while inspiring readers with promising new ideas and future research directions. High-quality submissions that bridge theory and practice are especially welcome.
Research topics that are of interest for this Special Issue include, but are not limited to, the following:
- Advanced fault diagnosis, remaining life prediction, and maintenance decision methods for mechatronic-hydraulic systems or their subsystems;
- Physics of failure modeling and digital twins;
- Health monitoring sensors and multi-source data fusion;
- Edge computing solutions for scalable predictive maintenance;
- Managing uncertainty and risk in predictive maintenance;
- Design and management of predictive maintenance platforms.
Dr. Pengfei Liang
Dr. Shaogan Ye
Dr. Qun Chao
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
- mechatronic-hydraulic systems
- condition monitoring
- predictive maintenance
- sensors
- artificial intelligence
- digital twin
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