DEVELOPMENT OF CONTROL ALGORITHMS FOR MOTOR VEHICLE MAINTENANCE PARAMETERS UNDER OPERATION IN SPECIAL CONDITIONS
PURPOSE. There is an accelerated temporal drift (gradual change) of values of the number of controlled parameters of the automotive vehicles when they are operated in different conditions including road, natural and climatic, transport conditions. This, eventually, results in the premature failure of the vehicle. Therefore, to solve the main tasks of vehicle maintenance it is necessary to study the patterns of vehicle technical condition alteration (including that of major components, assemblies and mechanisms) under the influence of various factors in order to identify the efficiency indicators and justify the application possibility of the flexible maintenance strategy. METHODS. The paper analyzes and describes the strategies that are used today for maintenance interval determination. RESULTS AND THEIR DISCUSSION. The results of the work are analytical expressions for the formation of vehicle performance efficiency indicator. The algorithm of vehicle maintenance optimal period determination and the control algorithm of vehicle maintenance parameters are presented. CONCLUSIONS. Various operating conditions of vehicles have a significant impact on materials aging that leads to the wear of vehicle main components and assemblies and finally causes their premature failure. Prediction of temporal drift patterns allows to obtain analytical expressions for the most complete (probabilistic) indices of vehicle reliability: these are the distribution densities of parameter limit (boundary) value achievement time and the probabilities of failure-free operation for a specified interval of time. These dependencies can be used in the formation of performance efficiency indicators depending on the maintenance interval (readiness index and operation costs), as well as for the justification of optimal maintenance intervals of motor vehicles.