Open AccessComparative analysis of the reliability of electric locomotives based on semi-Markov models of restorable systems
Author(s) -
Oleg Dyshin,
K. Sh Pashayeva,
C. G. Aslanov
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1021/1/012003
Subject(s) - reliability (semiconductor) , markov chain , markov model , markov process , asynchronous communication , reliability engineering , superposition principle , computer science , state (computer science) , automotive engineering , engineering , mathematics , algorithm , statistics , telecommunications , physics , machine learning , mathematical analysis , power (physics) , quantum mechanics
Based on the general theory of semi-Markov recovery processes and their application to Markov recovery processes, the applicability of stationary reliability indicators to assessing the reliability of electric locomotives with an asynchronous motor, the functioning of which is considered as a superposition of independent alternating semi-Markov processes, is shown. By calculating the main indicators of system reliability in a steady state, a comparative analysis of the operational reliability of electric locomotives with an asynchronous DC and AC motors, used respectively on the Azerbaijan and Kazakhstan railways, was carried out.