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Abstract
The functioning of the power amplifier unit in the transmitting device of a radar station largely depends on the quality of the klystrons used in it. The issues of ensuring efficient operation of the unit by solving two problems are considered. It is necessary to control the stability of klystron parameters: filament voltage and current, control electrode and cathode currents, and others. This problem is solved by using control charts. To ensure the operation of the power amplifier block, it is necessary to be able to predict its characteristics based on the values of the klystron parameters: in this case, machine learning can be used
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