Machine Learning Enabled FBG Optical Sensor Applications

This review paper develops the current understanding of machine learning applications in the Structural health monitoring industry using Fiber Bragg Grating (FBG) sensors. We describe how this synergy transforms strain measuring, temperature sensing, and structural health monitoring based on analysis of papers and case studies. In addition to aspects involving these sensors, the discussion of how integration can achieve accuracy, real-time capabilities, and predictive analytics also raises issues with data management complexity, the efficiency of the algorithms to be used, and the efficiency of integrating this into current systems. This research paper also presents a comprehensive investigation into using FBG optical sensor technology and machine learning models for the early detection and management of diabetes mellitus. Thus, as we suggest possible solutions and directions of further research in the form of conclusions, it seems to us that a growing trend will make in aviation operations safer than ever and more efficient.