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Neural Network Technologies in the Tasks of Estimating and Forecasting the Resource of Power Supply Systems in Robotic Complexes

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Frontiers in Robotics and Electromechanics

Abstract

The problem of electromagnetic compatibility (EMC) is related to ensuring reliable operation of a set of primary (power) and secondary circuits (electronic devices). The problem of insulation heating was considered on the basis of a mathematical model of the theory of thermal fluctuations in the destruction of dielectrics at different temperatures. The influence of temperature on the long-term electrical insulation strength of the cable line was investigated. It is shown that the dependence of the time to destruction can be explained on the basis of the theory of thermal fluctuations of destruction. A method for determining the parameters of the equation of the cell life curve is considered. As well as the dependence of the layer-by-layer propagation of magnetic induction on the radius for homogeneous insulation and in the presence of a section of the main insulation with an air cavity. The results obtained confirm the assumptions about the possibility of using the theory of thermofluxation in determining the PCL resource. A layer-by-layer analysis of the distribution of the electric field in the cable revealed distortions of the electric field and showed its dependence on the design features of the cable and the size of the defect.

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Correspondence to Nikolay Poluyanovich .

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Poluyanovich, N., Burkov, D., Dubyago, M. (2023). Neural Network Technologies in the Tasks of Estimating and Forecasting the Resource of Power Supply Systems in Robotic Complexes. In: Ronzhin, A., Pshikhopov, V. (eds) Frontiers in Robotics and Electromechanics. Smart Innovation, Systems and Technologies, vol 329. Springer, Singapore. https://doi.org/10.1007/978-981-19-7685-8_14

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