Cyberphysical Sensing Systems for Fault Detection and Identification

Dear Colleagues,

Cyberphysical sensing systems represent the enabling technology towards an effective deployment of the 4.0 generation in important fields such as industry, transport, and energy. Cyberphysical sensing systems consider the transformation of physical measurements in digital information to provide decision support in numerous tasks, including fault detection and identification processes.

This Special Issue is focused on research around the role that sensing systems play in cyberphysical deployments, with special emphasis on the distribution of artificial intelligence algorithms under edge-, fog- or cloud-based computing, and how such approaches perform when applied to data-driven condition monitoring.

Works dealing with all related aspects of cyberphysical sensing system technology for fault detection and identification application considering signal processing, data fusion, and deep learning will be included in this issue.

Contributions in both theoretical and applied works are welcome, together with review articles on specific subjects within the scope of this issue. Potential topics include but are not necessarily limited to the following:

• Cyberphysical sensor systems applied to fault detection and identification;
• Predictive maintenance based on edge, fog or cloud computing architectures;
• Condition-based monitoring supported by smart sensors and Artificial Intelligence.

Dr. Miguel Delgado Prieto

Dr. Roque Osornio Rios

Dr. Antoine Picot
Guest Editors

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