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The paper deals with the development of the adaptive approach method to maintenance (MNT) arrangement and provision of spare parts, tools and accessories (SPTA) for the integrated radar systems (IRS) with the purpose of increasing the indicators of its readiness in the conditions of digital transformation. The method consists in managing the parameters of the system of main-tenance, repair and operating (MRO) and inventory and logistics support (ILS) by analyzing the data of integrated control systems in a real-time environment on the basis of logical and probabilistic model of IRS reliability. For this purpose, it is necessary to solve the task of maximizing the reliability parameters when limiting the value of no-failure operation probability and the total cost of MNT and SPTA. Such adaptive approach to MNT suggests that the technical condition of the product is continuously analyzed on the real time basis by using an integrated control on all admitting nodes. Similarly, an optimal set of SPTA is calculated depending on the current and forecasted values of the technical condition of the system. Within the framework of the proposed adaptive MNT the integrated control should be used on all the nodes where it is possible, and the data on the technical condition are transferred to the server where the optimization task is performed, including forecasting by machine learning methods. Keywords— Reliability Engineering, Optimizing, Spare Parts, Adaptive Maintenance, Machine Learning, Predictive Maintenance, Repair, Integrated Radar Systems.

proceedings of the international scientific conference "far east con" (iscfec 2018)

Adaptive Management of System Parameters of Maintenance, As Well As Repair and Optimization of Spare Parts, Tools and Accessories of the Integrated Radar System on the Basis of Reliability Model and Control Data