Radial Basis Function Method for Linearization of Thermocouple Data: An Efficient and Accurate Approach

This research paper proposes a novel approach for the linearization of non-linear thermocouple data using the Radial Basis Function (RBF) method. The proposed approach utilizes a different RBF function with author-defined hyperparameters to map the non-linear relationship between temperature and voltage to a linear one. The linearized data is then passed through a linear function for further refinement. The performance of the proposed approach is evaluated using various metrics such as accuracy, linearity percentage, loss, and error percentage. The results show that the RBF method is an efficient and accurate approach for the linearization of nonlinear thermocouple data. This research paper contributes to the field of thermocouple data analysis by introducing a new method that can improve the accuracy and efficiency of thermocouple measurements.