Abstract
A modern approach to determining the useful life of components and parts of rolling stock allows not only to estimate the pre-failure state of an object, but also to predict its useful life.The objective of the study is to predict the mileage of wheelsets of modern electric trains of the «Rusich» series based on the use of statistical data and assessment of the residual life.The study used real data recorded during maintenance and repair of electric trains.The proposed approach allows getting a vivid presentation of the equipment wear rate, since it is based on the use of the measured parameters of the object. The analysis of these values makes it possible to determine the processes occurring in the product. When using large samples, it becomes possible to approximate the obtained numerical values and make a forecast of the technical condition with greater reliability.The task of predicting the residual life is quite complicated and must be solved separately for each type of equipment. That is why the generally accepted world practices are associated with preventive maintenance and repair system, while modern automated digital systems for technical diagnostics (including on-board and built-in ones) make it possible to partially switch to technical maintenance and repair considering the actual technical condition of the rolling stock.
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