| Title | Fast-variable Processes Analysis Using Classical and Approximation Spectral Analysis Methods |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Dosko, Sergei I., Sheptunov, Sergey A., Tlibekov, Alexey Kh., Spasenov, Alexey Yu. |
| Conference Name | 2021 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS) |
| Keywords | Analytical 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 |
| Abstract | A 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. |
| DOI | 10.1109/ITQMIS53292.2021.9642732 |
| Citation Key | dosko_fast-variable_2021 |
Fast-variable Processes Analysis Using Classical and Approximation Spectral Analysis Methods