Studies of the formation of the optimal composition of Tribological additives to the base oil have shown the possibility of improving the characteristics of the tribosystem. It was revealed that this Tribological additive makes it possible to form functional surface layers that provide normal operating conditions for tribological conjugation of parts. Based on the optimization of the technical condition of the Tribological additives, the optimal values of each of its components are obtained. Optimization of the condition provided that the amount of wear should tend to a minimum, and the maximum load and loading of the weld should tend to a maximum. Based on the experimental database on the 4ball friction machine, an equation is obtained for each of the indicated response functions of the resulting features, based on which, with a desirability value of the order of 1.0, the composition of Tribological additives is obtained: from Katerynivka Friction geo modifiers; Sodium oleate, copper sulfate and phosphor TAT 33. It was found that the adding of TM-3-18k into the oil Tribological additives in the amount of 5.75 % under laboratory conditions can reduce the wear rate by 35.1 -35.5 %, the maximum load also increases by 17.1 -17.2 %, and the welding load increases by 5.3 -8.4 %. The analysis of experimental data shows that this Tribological additive can be operated at locally loaded parts of 1035 N, and the peak contact overload is up to 2385 N. The research results suggest that the proposed Tribological supplement makes it possible to improve the characteristics of the tribosystem. It can be useful to service and trucking enterprises during technical service and for the manufacturing of composite oil.

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This article discusses the importance of timely and accurate detection of fetal distress during pregnancy to reduce the risk of adverse outcomes. One non-invasive method of fetal monitoring is through the use of fetal cardiodiagnostic systems, which record the fetal ECG signal. However, selecting a reliable fetal ECG signal can be challenging, as the signal may be weak and prone to interference. The article presents several existing methods for extracting useful fetal ECG signals from a mixture, including blind signal separation, adaptive filtering, synphase method, component method, spectral method, and bispectral processing. However, the limitations of these methods make it necessary to develop a new method that can consider time-frequency characteristics and phase-time parameters of the ECG signal simultaneously. The article proposes a new algorithm and method for extracting fetal ECG signals, which involves several steps, including registration of maternal ECG signals, synphase detection of fetal ECG signals and adaptive filtering. The proposed method was tested on a generated ECG signal and was found to be effective in extracting the fetal ECG signal from noisy and artifactcontaining signals. The method and algorithm for detecting the fetal ECG signal in the presence of obstacles is implemented in the MATLAB environment.

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