Algorithm of the target function of time between overhauls taking into account gradual and sudden failure of the locomotive equipment

¹ Russian Open Academy of Transport ROAT (MIIT), Moscow, Russia
² Omsk State Transport University, Karl Marx Ave., 35, Omsk, 644046, Russia
³ Joint-stock company “Scientific and Research Institute of Railway Transport” (JSC “VNIIZhT”), Moscow, Russia

^* Corresponding author: org@rgotups.ru

Abstract

The paper considers the principles of technology of scheduled preventive repair of equipment, as well as the principles of repair taking into account the technical condition of locomotive equipment. The main goal of the study is to justify the mechanism for optimizing the repair cycle of locomotives in order to ensure high reliability of the equipment at the lowest costs. For the organization of the strategy of maintenance and repair of the locomotive fleet according to the scheduled preventive repair method and the method taking into account the technical condition, an algorithm for the target function of the time between overhauls has been developed, taking into account the gradual and sudden failures of the locomotive equipment. A description of the model of gradual failures and the target function including the values of mileage and tolerance is given. The results of the study formulated a more universal algorithm of the target function for determining the values of the standard operating time of the assembly unit subjected to both gradual and sudden failures in operation, which includes an analysis of the errors of the first and second kind in diagnosing the object, the probability of replacement and failure detection, and economic indicators.This algorithm is adapted to the repair cycle consisting of three types of repair: the current repair CR, the medium repair MR, and the overall repair OR. It has been established that when optimizing the repair cycle of locomotives while simultaneously taking into account both gradual and sudden equipment failures, a reduction in the number of unscheduled repairs reaches 10-15%, the number of scheduled repairs is reduced by 12-18%.