Fiber optic sensors are instrumental in SHM due to their ability to provide real-time data on structural parameters such as strain, temperature, and vibration. Their high sensitivity and immunity to electromagnetic interference make them ideal for use in diverse environments. In this paper, we compare algorithms based on multivariate data analysis as well as data processing using neural networks, comparing their performance on a real structure. Introduction Fiber Bragg Gratings (FBGs) began to be used as strain sensors in the early 1990s, and approximately a decade. In this paper, we present a comprehensive overview of our research in the field of distributed fiber optic sensors for structural health monitoring of hydrogen composite pressure vessels.
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