REMOTE ULTRASONIC CONTROL OF AIR FLOW WITH PHASE INCLUSIONS
The paper presents the results of the experimental research of the Doppler ultrasonic signals backscattering in the airflow of the fan. There were studied the changes in time and spectral structures of signals in the presence and absence of phase inclusions in the turbulent flow. It was proved that the scattering of ultrasound occurs mainly at the boundaries of the turbulent flow. The paper presents the results of using artificial neural networks (ANN) for the analysis of experimental data obtained by measuring the space-time structure of the fan airflow rate. Neural network with a simple serial architecture was used to gain the results. The ANN model proved to be very effective (due to small error) in successful identification of the instantaneous velocity distribution in time and volume of flow.