The paper proposes to consider the reliability of machines in terms of mass and individual production. The proposed approach makes it possible to assess the impact of various failures of machine parts on the reliability of single-purpose vehicles. Failures occurring as a result of fatigue wear are considered, but they are of a sudden nature of failure. A condition is defined to prevent such failures, from which the assigned resource to the limit state of the part must be less than the resource of each particular part that may be susceptible to sudden failure. This condition can be applied both for serial production machines and for single-source machines. An algorithm for determining sample and aggregate parameters and an algorithm for resource testing for reliability for single-source machines are proposed. The key stage for the development of the algorithm is the resource testing of machines, the carrying out of which makes it possible to objectively assess the reliability of the loaded parts. To reduce the period for obtaining test results, it is necessary to carry out accelerated resource tests of machines, which can be achieved by intensive operation of machines with short stops for inspection and maintenance. Failures resulting from tests constitute a sample that, after being processed by theoretical laws, allows the determination of the smallest values. Studies have shown that even with the estimation of sample values, the possibility of premature failure continues. In this regard, the paper proposes to use the aggregate parameters to estimate the minimum values. The use of such an algorithm will make it possible to exclude the possibility of the onset of premature failures by determining the period of operation of vehicles during which the failure-free operation of cars is guaranteed.

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Identification of dynamic characteristics of the machine suspension materials is required for troubleshooting and improving the ride quality. The method of identifying the suspension materials characteristics, based on the application of needle-shaped variation of the L.S. Pontryagin dynamical system to the invariant features of the dynamic system actual movement is presented in this study. The use of the needle-shaped parameters variation to the Hamilton-Ostrogradskyi action integral gives a condition of the objective functional minimum in the form of the maximum principle with the exception of the consideration of the vector of conjugate variables. As a result, the computational costs are reduced, the task of identification and optimization is simplified the convergence and accuracy of the algorithms is improved [1 - 5].

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main concept formulation, goals and objectives of the research; E. E. Kosenkocalculations, preparation of the text, conclusions; V. V. Kosenkoresearch results analysis, text refinement, correction of the conclusions.