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Vol.5 , No. 2, Publication Date: Jun. 1, 2018, Page: 28-35
| [1] | Oleg Aleksandrovich Dyshin, Azerbaijan State University of Oil and Industry, Advisor of Rector, Baku, Azerbaijan. |
| [2] | Ceyhun Gulmamed Aslanov, Closed Stoking Society “Azerbaijan Railways”, Baku, Azerbaijan. |
Based on the general theory of Markov renewal processes and semi-Markov processes with nonexponential distributions of the operating time for failure and recovery, the applicability of stationary reliability indicators to the reliability assessment of electric locomotives with an asynchronous motor is shown. Calculations are made of the availability factor of the average stationary operating time for failure and the average steady-state recovery time for electric locomotives of the Kazakhstan railway.
Keywords
Semi-Markov Process, Semi-Markov Model of the Recovery System, Restoring Devise, Process of Markov Recovery, Embedded Markov Chain, Cartesion Product, BorelSets, Phase-Enlargement Algorithm
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