Discrimination of Strain and Temperature effects on FBG-based Sensor using Machine Learning

We demonstrate the ability of machine learning methods to discriminate between the strain and the temperature effects on Fiber Bragg grating (FBG) sensor on a single measurement of Bragg wavelength change. This technique will reduce the cost and complexity of FBG-based sensor system.