Trends and Applications in Sensor Fault Diagnosis

Dear Colleagues,

Owing to factors such as the rising demand for electronics and automobiles, increasing concern for surveillance and security, and the development of wireless technology and smart cities, the global Smart Sensor market value is estimated to reach USD 101 billion by 2025 with a CAGR of 19%.

Smart Sensors can autonomously sense, gather, judge, analyze, and process external environmental data using multi-element integrated circuits, with sensors, communication modules, microprocessors, drivers and interfaces, and software algorithms all embedded into one system-level device. In addition to the high reliability and cost performance typically exhibited by Smart Sensors, some of their most important advantages are their self-check, self-calibration, and self-diagnosis capabilities.

New diagnostic approaches and techniques are required to maximize the capability of these features to transform data into useful information for Fault-Tolerant Measurement and Control Systems.

For this Special Issue, we invite authors from academia and industry to submit new research on technological innovations and novel applications in the automatic diagnosis of sensor systems, with a special focus on real-time applications. Research topics include, but are not limited to:

• Innovative electronic and mechatronic sensors with self-diagnosis capabilities;
• New techniques and approaches for Instrument Fault Detection Isolation and Accommodation (IFDIA);
• New architecture for Fault-Tolerant Control Systems;
• Fault diagnosis in Distributed Measurement Networks;
• The industrial applications of sensor fault diagnosis;
• Testing algorithms and approaches for estimating sensor reliability and life-cycles.

Dr. Paolo Sommella
Dr. Domenico Capriglione
Guest Editors

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