Visible to the public Fast-variable Processes Analysis Using Classical and Approximation Spectral Analysis Methods

TitleFast-variable Processes Analysis Using Classical and Approximation Spectral Analysis Methods
Publication TypeConference Paper
Year of Publication2021
AuthorsDosko, Sergei I., Sheptunov, Sergey A., Tlibekov, Alexey Kh., Spasenov, Alexey Yu.
Conference Name2021 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS)
KeywordsAnalytical models, approximation, classical spectral analysis, damping, Estimation, fast-variable processes, Fourier transform, frequency characteristics, frequency estimation, Metrics, pubcrawl, resilience, Resiliency, Scalability, security, smoothing methods, Time Frequency Analysis, time series, Time series analysis, Time-frequency Analysis
AbstractA comparative analysis of the classical and approximation methods of spectral analysis of fast-variable processes in technical systems is carried out. It is shown that the approximation methods make it possible to substantially remove the contradiction between the requirements for spectrum smoothing and its frequency resolution. On practical examples of vibroacoustic signals, the effectiveness of approximation methods is shown. The Prony method was used to process the time series. The interactive frequency segmentation method and the direct identification method were used for approximation and frequency characteristics.
DOI10.1109/ITQMIS53292.2021.9642732
Citation Keydosko_fast-variable_2021