A Fault Diagnostic Methodology for Railway Automatics Systems

Procedia Computer Science. Vol.149: ICTE in Transportation and Logistics 2018 (ICTE 2018) 2019
Jūlija Freimane, Zbigniew Łukasik, Waldemar Nowakowski, Tomasz Ciszewski

Railway automatics systems have a significant impact on ensuring an adequate level of safety. Therefore, it is very important to strive to achieve the high reliability of these systems. Modern railway automatics systems commonly use information technologies that enable events logging and self-diagnostics. However, there are no standards in the field of data acquisition mechanisms and their analysis, which results that manufacturers of railway automatics systems apply various solutions in this regard. The problem of unifying diagnostic methods, and the way for data representation and their analysis is very important, as it can significantly facilitate building of modern diagnostic centers. In the paper the Bayesian inference and SNMP technology, as a tool to solve diagnostic and unifying problems, were presented

Keywords
Bayesian inference, Diagnostic, Level crossing protection systems, Railway automatics systems, SNMP
DOI
10.1016/j.procs.2019.01.119
Hyperlink
https://www.sciencedirect.com/science/article/pii/S1877050919301267

Freimane, J., Łukasik, Z., Nowakowski, W., Ciszewski, T. A Fault Diagnostic Methodology for Railway Automatics Systems. In: Procedia Computer Science. Vol.149: ICTE in Transportation and Logistics 2018 (ICTE 2018), Lithuania, Klaipeda, 1-1 January, 2019. Amsterdam: Elsevier B.V., 2019, pp.159-166. ISSN 1877-0509. Available from: doi:10.1016/j.procs.2019.01.119

Publication language
English (en)