Fault Diagnosis Platform Based on the IoT and Intelligent Computing

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:

1. Industrial system security;
2. Advanced cloud-assisted intelligent architecture in smart factories;
3. End–edge–cloud-orchestrated fault diagnosis platforms;
4. Integrated framework employing IoT and big data techniques;
5. Artificial Intelligence of Things systems;
6. Fault diagnosis methods based on big data analysis;
7. 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

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.

• fault diagnosis
• predictive maintenance
• Industry 4.0
• Internet of Things
• cloud–edge computing
• cyberphysical system
• artificial intelligence