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Article | 15-March-2021

INTELLIGENT SYSTEM OF NOISE CONTROL OF THE TECHNICAL CONDITION OF RAILROAD TRACKS

option for continuous monitoring of the beginning of changes in the technical condition of the track using intelligent tools, which allow one, by analyzing the useful signal and the noise from the soil vibrations caused by the rolling stock, to create informative attributes for identifying the technical condition of the track. The application of traditional technologies of correlation and spectral analysis and other methods for this purpose does not allow ensuring adequacy of the control results

Telman ALIEV, Tofig BABAYEV, Tahir ALIZADA, Elnur ALIBAYLI, Heybatulla AHMEDOV

Transport Problems, Volume 16 , ISSUE 1, 65–73

Article | 01-April-2018

Estimation Algorithm for Low Frequency Seismic Motions Based on Extended Semblance Function

Lianming Sun

International Journal of Advanced Network, Monitoring and Controls, Volume 1 , ISSUE 1, –

research-paper | 14-June-2019

Distinct classes of low frequency ultrasonic vocalizations in rats during sexual interactions relate to different emotional states

(Vivian and Miczek, 1993a; b), flat and upward during frustration (our present results) and trill during social playing interaction with the inhibition of aggressive behavior (Burke et al., 2017). On the other hand, differences in the spectral analysis of the 22-kHz vocalization may also reflect differences in neural networks and neurotransmitter activations. It has been proposed that 22-kHz vocalizations reflecting a negative emotional state depend on muscarinic stimulation (Brudzynski, 2015). Our

Michal Bialy, Martyna Podobinska, Jaroslaw Barski, Wiktor Bogacki-Rychlik, Elzbieta M. Sajdel-Sulkowska

Acta Neurobiologiae Experimentalis, Volume 79 , ISSUE 1, 1–12

Article | 26-May-2019

AN APPLICATION OF FUNCTIONAL DATA ANALYSIS TO LOCAL DAMAGE DETECTION

Vibration signals sampled with a high frequency constitute a basic source of informa-tion about machine behaviour. Few minutes of signal observations easily translate into several millions of data points to be processed with the purpose of the damage detection. Big dimensionality of data sets creates serious difficulties with detection of frequencies specific for a particular local damage. In view of that, traditional spectral analysis tools like spectrograms should be improved to efficiently

Jacek Leśkow, Maria Skupień

Statistics in Transition New Series, Volume 20 , ISSUE 1, 131–151

Article | 18-June-2020

NOISE CONTROL OF THE BEGINNING AND DEVELOPMENT DYNAMICS OF FAULTS IN THE RUNNING GEAR OF THE ROLLING STOCK

Telman ALIEV, Tofig BABAYEV, Tahir ALIZADA, Narmin RZAYEVA

Transport Problems, Volume 15 , ISSUE 2, 83–91

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