Evgeny Tarasov¹ , Anna Tarasova¹ , Alexander Zolkin², Liliya Kunygina³ , and Anzhelika Burakova³

¹Samara State Transport University (SSTU), 2V, Svobody Street, Samara, 443066, Russia

²Povolzhskiy State University of Telecommunications and Informatics, Samara, 443010, Russia

³Voronezh branch of the Federal State-Funded Educational Institution Rostov State Transport University, Voronezh, 394026, Russia

Abstract

The article deals with the construction of a three-channel invariant classifier that has the properties of classifying the states of rail lines into a set of classes that are invariant to changes in the longitudinal resistance of the rail line and the transverse conductivity of the insulation of the ballast material. Invariance is achieved taking into account the change in the transverse conductivity of the insulation and the longitudinal resistance of the rail line while compiling systems of equations of state for rail lines, which are the decisive functions of the classifier. The article shows that the three-channel method allows for the correct recognition of all three classes of rail line states by three decision functions with arguments - voltages and currents at the input and output of the rail line. The block diagram of the operation algorithm of the three-channel classifier of the states of the rail lines allows to form the recognition process and the majority classification depending on the states of the channels. The feasibility of the algorithm is confirmed by simulation studies on a mathematical model and graphical results.