A fault diagnostic methodology for railway automatics systems
| Autor: | Waldemar Nowakowski, Tomasz Ciszewski, Julija Freimane, Zbigniew Lukasik |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
business.industry Information technology ComputerApplications_COMPUTERSINOTHERSYSTEMS 020206 networking & telecommunications 02 engineering and technology Fault (power engineering) Field (computer science) Data acquisition Risk analysis (engineering) 0202 electrical engineering electronic engineering information engineering General Earth and Planetary Sciences 020201 artificial intelligence & image processing business Reliability (statistics) General Environmental Science |
| Zdroj: | Procedia Computer Science. 149:159-166 |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2019.01.119 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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