2017•Russian Electrical EngineeringRequires access

Energy-efficient algorithms for assessment of the rail-circuit operation

P. F. Bestem’yanov

Open publisher page 14 citations

Abstract

The voltage in a rail circuit is determined for reliable detection of the mobile unit or a train on the section of the railway track. It is proposed to use the structures of the automatic block system based on the time-division channels of status scanning of the rail circuits with subsequent signal processing by two parameters. The first parameter includes the assessment of correspondence of the code signals transmitted to the rail circuit and received from the rail circuit. The second parameter is obtained based on the analysis of the voltage at the rail-circuit output within the current and previous measurements considering the voltagechange rate. This latter parameter makes it possible to distinguish reliably the state when the rail track is occupied by the train from the random changes of the rail-circuit parameters from the influence of the external factors. The proposed algorithms permit one to reduce significantly consumption of electric energy providing operation of rail circuits.

About this research paper

What this paper is about

The voltage in a rail circuit is determined for reliable detection of the mobile unit or a train on the section of the railway track. It is proposed to use the structures of the automatic block system based on the time-division channels of status scanning of the rail circuits with subsequent signal processing by two parameters. The first parameter includes the assessment of correspondence of the code signals transmitted to the rail circuit and received from the rail circuit. The second parameter is obtained based on the analysis of the voltage at the rail-circuit output within the current and previous measurements considering the voltagechange rate. This latter parameter makes it possible to distinguish reliably the state when the rail track is occupied by the train from the random changes of the rail-circuit parameters from the influence of the external factors. The proposed algorithms permit one to reduce significantly consumption of electric energy providing operation of rail circuits.

Why it matters

OpenAlex reports 14 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The voltage in a rail circuit is determined for reliable detection of the mobile unit or a train on the section of the railway track. It is proposed to use the structures of the automatic block system based on the time-division channels of status scanning of the rail circuits with subsequent signal processing by two parameters. The first parameter includes the assessment of correspondence of the code signals transmitted to the rail circuit and received from the rail circuit. The second parameter is obtained based on the analysis of the voltage at the rail-circuit output within the current and previous measurements considering the voltagechange rate. This latter parameter makes it possible to distinguish reliably the state when the rail track is occupied by the train from the random changes of the rail-circuit parameters from the influence of the external factors. The proposed algorithms permit one to reduce significantly consumption of electric energy providing operation of rail circuits.

Key concepts: Energy (signal processing), Algorithm, Computer science, Engineering, Electrical engineering, Mathematics, Statistics

Related papers

Back to paper searchBrowse research topicsOriginal source
Energy-efficient algorithms for assessment of the rail-circuit operation — Research Paper | ScholarLens