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AI-Driven Analytics and Intelligent Sensing for Industrial Systems
This special issue belongs to the section “Fault Diagnosis & Sensors“.
Special Issue Information
Dear Colleagues,
This Special Issue highlights the transformative role of AI-driven analytics and intelligent sensing technologies across the design, operation, and lifecycle management of modern industrial systems. We invite contributions that integrate heterogeneous sensor data, physics-informed models, and data-driven intelligence to enable more adaptive, efficient, and resilient engineering systems.
Research addressing new sensing concepts, architectures, and optimization methods that enhance modeling, control, and decision-making in complex industrial environments is especially welcome. Submissions may explore system design, real-time operation, process optimization, or autonomous decision support in domains such as manufacturing, energy, transportation, logistics, or supply chains.
We also encourage studies demonstrating how AI, machine learning, and digital twins can couple with sensor technologies to support performance prediction, fault diagnosis, scheduling, and system redesign—advancing both scientific understanding and industrial practice.
We look forward to your contributions that expand the frontier of intelligent, sensor-enabled industrial systems.
Prof. Dr. Janis Terpenny
Prof. Dr. Thomas Kurfess
Prof. Dr. Vittal Prabhu
Guest Editors
Dr. Pongchalat Chaisiriroj
Guest Editor Assistant
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 250 words) can be sent to the Editorial Office for assessment.
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
- AI-driven analytics
- intelligent sensing
- physics-informed learning
- industrial systems
- manufacturing
- transportation
- logistics
- supply chains
- digital twins
- operational optimization
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