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Intelligent Sensing, Condition Monitoring, and Maintenance for Complex Industrial Systems
This special issue belongs to the section “Industrial Sensors“.
Special Issue Information
Dear Colleagues,
The scope of this Special Issue aligns closely with the aims of Sensors, addressing the emerging role of advanced AI techniques in Prognostics and Health Management (PHM) for enhancing the reliability and safety of industrial assets. This Special Issue will invite contributions that advance both theory and practice, covering (but not limited to) the following aspects:
- Monitoring
- Real-time condition monitoring of industrial equipment;
- Sensor fusion and measurement techniques in harsh environments.
- Modeling
- Physics-informed or hybrid modeling for complex systems;
- Digital twin-enabled monitoring and decision-making.
- AI
- AI approaches for fault diagnosis and predictive maintenance;
- Explainable AI for industrial monitoring, fault diagnosis, and prognostics;
- Large-scale foundation models for intelligent maintenance and condition monitoring.
- Applications
- Applications in manufacturing, energy, transportation, and robotics;
- Case studies on complex industrial systems.
Dr. Junyu Qi
Dr. Xiaoxi Hu
Dr. Dandan Peng
Dr. Peng Chen
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. Sensors 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 2600 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
- intelligent sensing
- predictive maintenance
- digital twins
- prognostics and health management (PHM)
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