Repozytorium publikacji - Politechnika Gdańska

Optical fiber sensorsusing low-coherence interferometry require processing ofthe output spectrum or interferogramto quickly and accurately determine the instantaneous value of the measured quantity, such as temperature.Methods based on machine learning are a good candidate for this application. The application of four such methods in an optical fiber temperature sensoris demonstrated.Using aZnO-coated sensing interferometer and spectral detection,the sensor is intended for monitoring lithium-ion rechargeable batteries. While the performance of all methods was good, some of them seem to be better suited for this application

Autorzy

• Kacper Cierpiak link otwiera się w nowej karcie ,
• Marta Szczerska link otwiera się w nowej karcie ,
• dr hab. inż. Paweł Wierzba link otwiera się w nowej karcie