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Fault Diagnosis in Sensor Network-Based Systems

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 284

Special Issue Editors


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Guest Editor
Mary Kay O'Connor Process Safety Center (MKOPSC), Texas A&M University, College Station, TX 77843, USA
Interests: fault diagnosis; safety analysis; data-driven models; cyber-physical system safety; risk assessment; machine learning
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Mary Kay O’Connor Process Safety Center (MKOPSC), Texas A&M University, College Station, TX 77843, USA
Interests: sensor fault modeling; knowledge-based and data driven models; cyber-physical systems; artificial intelligence; sensor networks in IIoT; advanced sensor technology in system monitoring

Special Issue Information

Dear Colleagues,

The rapid growth in sensor networks has significantly impacted various industries, including healthcare, transportation, agriculture, chemical plants, and manufacturing. These systems rely heavily on the accuracy and reliability of sensor data to make informed decisions and optimize processes. However, the presence of faults and anomalies in a sensor network can compromise the overall performance of a system and lead to undesirable consequences. As such, the ability to diagnose and handle faults effectively becomes crucial for the reliable operation of such systems.

This Special Issue, titled "Fault Diagnosis in Sensor Network-Based Systems", aims to bring together cutting-edge research, methodologies, and applications related to fault diagnosis, detection, and isolation in sensor networks. We invite high-quality, original research articles that address the challenges, limitations, and advancements in this crucial area of study.

Topics of interest include, but are not limited to, the following:

  • Advanced fault diagnosis techniques for sensor networks;
  • Fault-tolerant sensor network design and optimization;
  • Anomaly detection and isolation in industrial systems;
  • Cybersecurity and protection of sensor networks from malicious attacks.

Through this Special Issue, we aim to foster interdisciplinary collaboration and highlight the latest developments in fault diagnosis for sensor network-based systems. The insights gained will contribute to improvements in the reliability of sensor networks, ultimately benefiting a wide range of applications and industries.

This Special Issue aims to collect both original reviews and technical research articles that take theoretical or application-based approaches. It will showcase works from a variety of engineering disciplines, including machine learning-model-based works using sensor data.

Dr. Md Tanjin Amin
Dr. Rajeevan Arunthavanathan
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

  • sensor networks
  • abnormal situation management
  • fault diagnosis
  • condition monitoring
  • artificial intelligence
  • industrial Internet of Things

Published Papers

This special issue is now open for submission.
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