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Updated: Jan 20, 2026

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
Published on: November 7, 2016
Sensor data fusion for responsive high resolution ultrasonic temperature measurement using piezoelectric transducers
Anas Hashmi1, Alexander N Kalashnikov2
1Department Electrical and Electronic Engineering, University of Jeddah, University of Jeddah Road, Jeddah, Saudi Arabia.
Ultrasonic oscillating temperature sensors (UOTS) offer responsive temperature measurements. Fusing UOTS data with conventional sensors resolves thermal hysteresis, improving accuracy and calibration for both sensor types.
Area of Science:
- Physics
- Materials Science
- Sensor Technology
Background:
- Conventional temperature sensors have limited responsiveness and measure temperature only at their placement point.
- Ultrasonic oscillating temperature sensors (UOTS) offer pathway-wide, responsive measurements but suffer from thermal hysteresis.
- High costs of traditional ultrasonic instrumentation limit widespread adoption.
Purpose of the Study:
- To investigate a method for overcoming the thermal hysteresis in UOTS readings.
- To improve the accuracy, responsiveness, and calibration of UOTS.
- To reduce the overall cost of advanced temperature measurement systems.
Main Methods:
- Experimental setup involving heating and cooling a water vessel equipped with both UOTS and conventional temperature sensors.
- Data fusion techniques to combine readings from UOTS and conventional sensors.
- Analysis of thermal hysteresis and its impact on UOTS performance.
Main Results:
- Thermal hysteresis in UOTS was successfully resolved by fusing data with conventional sensor readings.
- The combined system demonstrated improved temperature resolution and responsiveness compared to conventional sensors alone.
- Data fusion effectively calibrated the UOTS, mitigating issues related to thermal expansion and piezoelectric material properties.
Conclusions:
- Fusing UOTS data with conventional sensor readings provides a robust solution to thermal hysteresis.
- This data fusion approach enhances the performance and reliability of UOTS for temperature measurement.
- The combined system offers a cost-effective and accurate alternative for advanced temperature sensing applications.
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