Real-time diagnostic for the temperature sensors with linear resistance dependence via an artificial neural network
Y.M. Safonov, N.N. Fedortsov, N.N. Dulnev, Dmitriy A. Blagodarov · 2020
This paper proposes a method of diagnosing the state of temperature sensors with linear resistance dependence via an artificial neural network in real-time. The paper considers the relevance of this topic, describes the advantages of the methods, explains the algorithm of work. The necessity of using the ANN is justified, trained on data taken from a real object, and tested by the ANN. Theoretical calculations are confirmed by experimental data.