(Видавництво Львівської політехніки, 2018-09-18) Nakonechnyy, A.; Hetman, O.; Lviv Polytechnic National University
The report presents the essence and necessity of diagnostics of the vehicle’s engine
using vibroacoustic characteristics. To improve the analysis, we suggest using wavelet transforming signals.
(Видавництво Львівської політехніки, 2018-09-18) Nakonechnyy, A.; Berezhnyi, I.; Lviv Polytechnic National University
Different modern methods of detecting drones, which are based on various physical
principles of signal transformation and processing, are examined and analyzed. The system of identification of
drones is proposed, the basis of which is the analysis of signals of vibration and oscillations of the body. The work of
the system is based on the processing of signals in time-frequency, wavelet area. After the identification of the drone
is given a method of creating interference and interception, to further eliminate it.
