Advanced Sensing Technologies in Thermal Measurements
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: 20 May 2026 | Viewed by 11
Special Issue Editors
Interests: measurement systems; metrology; thermoelasticity; vibration measurement
Special Issues, Collections and Topics in MDPI journals
Interests: signal and digital image processing; experimental methods; thermoelasticity; metrology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Thermal sensing is becoming increasingly essential for addressing engineering challenges across sectors such as energy systems, manufacturing, structural health monitoring, and biomedical applications. Advances in infrared detectors, high-resolution thermal cameras, and embedded sensing platforms now enable more accurate and reliable measurements under demanding real-world conditions. At the same time, progress in signal processing, machine learning, and calibration techniques is transforming raw thermal data into actionable insights for diagnostics, control, and predictive maintenance.
With this Special Issue, we aim to present research that pushes the state of the art in sensor design, measurement methodologies, and application-driven solutions that harness thermal information. By connecting emerging sensing technologies with practical engineering needs, it aims to demonstrate how thermal measurements can enhance safety, efficiency, and informed decision-making. This topic aligns strongly with the scope of Sensors, highlighting innovations in sensing devices, measurement systems, and data analysis techniques to extract meaningful knowledge from thermal signals.
Prof. Dr. Gianluca Rossi
Dr. Lorenzo Capponi
Guest Editors
Manuscript Submission Information
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Keywords
- thermal imaging sensors
- infrared thermography
- smart infrared sensing systems
- thermal data processing and analysis
- calibration and uncertainty reduction
- real-time thermal monitoring
- predictive maintenance and diagnostics
- applications in energy, manufacturing, and biomedical fields
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