Sensor Data-Driven Fault Diagnosis Techniques
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Fault Diagnosis & Sensors".
Deadline for manuscript submissions: 20 November 2025 | Viewed by 13
Special Issue Editor
Special Issue Information
Dear Colleagues,
Recent advancements in sensor technology and data analytics have significantly improved the accuracy, reliability, and responsiveness of fault diagnosis systems across various domains, including manufacturing, transportation, healthcare, energy, and smart infrastructure. As sensors become increasingly ubiquitous and capable of generating high-resolution, real-time data, sensor-driven approaches are emerging as a core enabler of intelligent fault detection, identification, and prediction.
This Special Issue is highly relevant to the scope of Sensors, as it focuses on the pivotal role of sensor data in developing advanced fault diagnosis techniques. We invite high-quality submissions that present innovative methodologies, algorithms, and applications leveraging sensor data for fault diagnosis. Contributions may address theoretical foundations, algorithmic developments, data-driven modeling, and practical implementations in real-world systems.
This Special Issue welcomes innovative research on sensor data utilization, from advanced sensing hardware design to interpretable AI-driven analytics. Potential topics include but are not limited to:
- Multimodal sensor data fusion for cross-domain diagnosis
- Predictive maintenance with distributed sensor networks
- Sensor data transmission for fault diagnosis
- Self-supervised learning from unlabeled sensor data
- Edge-cloud collaborative diagnosis frameworks
Prof. Dr. Jang Woo Kwon
Guest Editor
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
- fault diagnosis
- intelligent monitoring
- predictive maintenance
- sensor data analytics
- machine learning for fault detection
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.
Further information on MDPI's Special Issue policies can be found here.
