Method of Statistical Spline Functions for Solving Problems of Data Approximation and Prediction of Objects State

The method of statistical spline functions is considered for problems of predicting the state of complex technical objects using the example of power transmission lines. The choice of parameters of spline fragments for building an adequate mathematical model is analyzed. Based on the experimental data, a short-term spline forecast of heating of overhead power lines has been created.