Article Title
A mathematical model of a track circuit for data set generationin machine classification applications
Journal thematic sections:
Information technology, automation, communications, telecommunications
Pages: 111-121
udk: 656.259.12
Article reference
Borisenko D. V. , Prisukhina I. V. , Lunev S. A.
A mathematical model of a track circuit for data set generationin machine classification applications Izvestiia Transsiba – The Trans-Siberian Bulletin,
2017, no. 4(32), pp. 111 – 121.
Abstract
The quality of a track circuit monitoring system is defined to the great extent by its ability to automatically analyse the acquired data, i. e. identify the state of a track circuit. Machine learning techniques can be applied to implement this functionality. Designing a machine learning algorithm requires a learning data set from the subject domain. In this article we discuss a basic principle of track circuit mathematical model design that could be used to generate such data set. We also apply this principle and a combination of some existing methods to design and demonstrate a mathematical model of the 25 Hz AC track circuit.