Advances in Sensors for Online Condition Monitoring and Fault Diagnosis

Dear Colleagues,

The increasing demand for reliability and efficiency in industrial systems has heightened the importance of online condition monitoring and fault diagnosis. Sensors play a pivotal role in capturing real-time data, enabling the detection and diagnosis of anomalies to prevent system failures and downtime. This Special Issue, Advances in Sensors for Online Condition Monitoring and Fault Diagnosis, aims to showcase state-of-the-art research and practical applications in this domain.

We invite contributions that explore innovative sensor technologies, advanced data acquisition systems, and integration of artificial intelligence (AI) algorithms to enhance fault detection and diagnostic capabilities. Topics include, but are not limited to, the development of novel sensor materials and designs, AI-based data analytics techniques, edge computing for real-time monitoring, and case studies demonstrating the application of these technologies in industries such as manufacturing, energy, transportation, and construction.

This Special Issue seeks to foster interdisciplinary collaboration and provide a platform for sharing breakthroughs in sensor-based condition monitoring systems. We encourage submissions that emphasize the synergistic use of sensors and AI to address the challenges of real-time monitoring and predictive maintenance.

Prof. Dr. Yuan Yao
Dr. Jia-Lin Kang
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.