The use of predictive analysis algorithms and methods for the overhead contact line operation mode selection

Autor: Aleksandr Smerdin, Gleb Ermachkov, Oleg Sidorov, Daniil Petin
Rok vydání: 2022
Předmět:
Zdroj: E3S Web of Conferences. 363:01049
ISSN: 2267-1242
DOI: 10.1051/e3sconf/202236301049
Popis: The article tells about the problem of the railway infrastructure objects reliable, safe, and effective operation on an example of the overhead contact line operation mode rational selection. The overhead contact line operation mode modelling results are described. The model is considering exploitation and climatic conditions and is based on the clusterization, classification, and neuronal network modelling methods for predictive analysis of a large amount of data.
Databáze: OpenAIRE