Моделювання доопрацювання обладнання локомотивів

Abstract

UA: Зі створенням нових зразків локомотивної техніки виникає необхідність проведення комплексу заходів, пов’язаних із доведенням їх до необхідних вимог щодо забезпечення надійності. Причина цього полягає в конструкторському і технологічному недоопрацюванні окремого обладнання локомотивів, що призводить до появи джерел відмов. У статті розглянуто декілька методичних підходів, що спрямовані на усунення причин відмов і, відповідно, підвищення надійності локомотивного обладнання за рахунок їх доопрацювання.

EN: When creating new models of locomotive equipment, it becomes necessary to implement a set of measures to bring them into compliance with the required reliability standards. This is due to design and manufacturing deficiencies in individual locomotive components, which introduce sources of failure. Accordingly, this paper examines several methodological approaches aimed at eliminating the causes of failures and, consequently, improving the reliability of locomotive equipment through a refinement process. Specifically, during the experimental refinement phase, equipment prototypes undergo numerous modifications to eliminate design and manufacturing deficiencies. The primary information guiding this refinement process is obtained experimentally from the results of additional tests. The main reason necessitating the testing and refinement of newly developed equipment is the presence of failure sources in the initial product, namely: design shortcomings and manufacturing defects. Existing models for ensuring reliability growth are based on two approaches. In the first approach, a specific curve is selected to model the reliability growth trend, and its parameters are then estimated using experimental results. In the second approach, the identification of the reliability growth trend is preceded by an analysis of the stochastic mechanism of the manifestation and elimination of failure sources. From this analysis, reliability growth equations are derived, and only then are the parameters of the reliability growth model estimated. This second approach enables an a priori analysis of the equipment's reliability improvement process. Therefore, based on the analyzed mathematical methods for solving the problems of locomotive equipment refinement across several implementation variants of reliability growth curves, this paper develops an algorithm for the calculation and optimization of the parameters of the equipment refinement model. Furthermore, calculations are presented to determine the probability of failure-free operation of the locomotive equipment for a range of these reliability growth curve implementations.