Fault Diagnosis Platform Based on the IoT and Intelligent Computing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Fault Diagnosis & Sensors".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 1214
Special Issue Editor
Interests: cloud computing; IoT; RFID; big data; edge & fog computing; distributed systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the rapid development of various smart digital sensors, the Internet of Thing (IoT) technology is evolving rapidly and contributing substantially to Industry 4.0 and the promotion of monitoring systems. The use of intelligent IoT sensors drives smart manufacturing and raises new requirements and challenges for fault diagnosis platforms in terms of efficiency, reliability, and data security. In the era of big data and IoT, the integration of cloud–edge computing technologies, cyberphysical systems, and artificial intelligence provides huge potential for accurate fault diagnosis and predictive maintenance in power transformer cyberattacks, battery lifetime predictions, rotating machine faults, etc.
This Special Issue seeks innovative works on a wide range of research topics, which include (but are not limited to) the following:
- Industrial system security;
- Advanced cloud-assisted intelligent architecture in smart factories;
- End–edge–cloud-orchestrated fault diagnosis platforms;
- Integrated framework employing IoT and big data techniques;
- Artificial Intelligence of Things systems;
- Fault diagnosis methods based on big data analysis;
- Deep learning applications in industrial security challenges.
We would like to invite you to submit an article to this Special Issue, including short communications, full research articles, and timely reviews.
Prof. Dr. Robert Hsu
Guest Editor
Manuscript Submission Information
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Keywords
- fault diagnosis
- predictive maintenance
- Industry 4.0
- Internet of Things
- cloud–edge computing
- cyberphysical system
- artificial intelligence
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