In this paper, we present a dynamic calibration method for FBG sensor temperature measurement, utilizing the online sequential extreme learning machine (OS-ELM). The process starts with the inscription of a FBG in the fiber, followed by spectral characterization, transducer prototype development, laboratory optical setup, and the development of. The fiber Bragg grating (FBG) sensor calibration process is critical for optimizing performance. Real-time dynamic calibration is essential to improve the measured accuracy of the sensor. The effects of taper geometry on strain and temperature sensitivities were evaluated using UV inscription through. Fiber Bragg Grating (FBG) sensor calibration refers to the process of establishing the correspondence or relationship (calibration formula) between the FBG wavelength information obtained from the FBG demodulator/interrogator or FBG sensing analyzer and the actual physical quantity to be measured. Fiber Bragg grating (FBG) sensors have emerged as advanced tools for monitoring a wide range of physical parameters in various fields, including structural health, aerospace, biochemical, and environmental applications. In this project we have had the opportunity to cooperate with many different individuals and departments at Volvo Cars. We feel a strong gratitude for all.
