AI-Enabled Smart Sensors for Industry Monitoring and Fault Diagnosis
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: 25 March 2026 | Viewed by 64
Special Issue Editors
Interests: artificial intelligence algorithms; advanced sensing technologies; anomaly detection; predictive maintenance
Interests: artificial intelligence; computer vision; imaging; signal processing; applications in fault diagnosis and maintenance of railway infrastructures
Interests: novel AI algorithms for sensor data analysis; anomaly detection; structural health monitoring; railway engineering
Special Issue Information
Dear Colleagues,
The advent of Industry 4.0 demands intelligent, reliable, and real-time monitoring solutions for complex industrial systems. This Special Issue focuses on the transformative integration of Artificial Intelligence (AI) with smart sensor technologies to revolutionize industrial monitoring and fault diagnosis. We seek high-quality research addressing the design, deployment, and application of AI-driven smart sensors capable of acquiring, processing, and interpreting complex data streams autonomously or at the edge.
Topics of interest include, but are not limited to, the following:
- Advanced sensing technologies with embedded AI capabilities;
- Novel AI algorithms for sensor data analysis, anomaly detection, and predictive maintenance;
- Application of AI-driven smart sensors;
- Edge AI/edge computing;
- Deep learning for sensing;
- Explainable AI (XAI) for industry;
- Industrial IoT (IIoT) monitoring.
This Issue aims to showcase cutting-edge research bridging sensor technology, AI, and industrial engineering to enhance operational efficiency, safety, and reliability through proactive fault diagnosis and intelligent monitoring. Original research and review articles are invited.
Dr. Wen-qiang Liu
Dr. Zhiwei Han
Dr. Jun-Fang Wang
Dr. Xiangyun Deng
Guest Editors
Manuscript Submission Information
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Keywords
- advanced sensing technologies with embedded AI capabilities
- novel AI algorithms for sensor data analysis, anomaly detection, and predictive maintenance
- application of AI-driven smart sensors
- edge AI/edge computing
- deep learning for sensing
- explainable AI (XAI) for industry
- industrial IoT (IIoT) monitoring
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