You are currently viewing a new version of our website. To view the old version click .

Novel Sensing Methods in Advanced Manufacturing Systems

This special issue belongs to the section “Industrial Sensors“.

Special Issue Information

Dear Colleagues,

The rapid evolution of advanced manufacturing demands innovative sensing solutions that can enhance precision, efficiency, and adaptability in modern production environments. As manufacturing systems transition toward Industry 4.0 and 5.0 paradigms, sensors play an increasingly pivotal role in enabling cyber–physical systems, digital twins, and predictive maintenance frameworks. This Special Issue focuses on novel sensing methods and smart sensor integration in advanced manufacturing systems, including both hardware innovations and intelligent data-driven approaches. Topics of interest include developments in sensor design, data acquisition, signal processing, and the application of artificial intelligence for real-time monitoring, fault detection, and process optimization.

We welcome original research and comprehensive reviews that explore emerging sensing techniques, multi-sensor fusion, industrial IoT implementations, and sustainable sensing technologies for automated and adaptive manufacturing.

By addressing current challenges and presenting forward-looking perspectives, this collection aims to advance the understanding and application of sensing technologies that empower the next generation of intelligent manufacturing systems.

Dr. Meysam Zareiee
Dr. Mahsa Mehrad
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 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

  • advanced manufacturing
  • smart sensors
  • Industry 4.0 and 5.0
  • sensor fusion
  • cyber–physical systems
  • digital twins
  • predictive maintenance
  • intelligent sensing
  • industrial IoT
  • process 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.

Published Papers

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Sensors - ISSN 1424-8220