Applications of Hilbert-Huang Transform in the Dynamic Response Analysis of System
Shuqing Guo
Abstract
Shuqing Guo
Abstract
In order to analyze the dynamic response of linear 2-DOF system and identify the influence of all the factors on it,a new time-frequency method named Hilbert-Huang transform was applied in the time-frequency analysis of linear 2-DOF system,which was put forward by Norden E.Huang in USA.The dynamic response was decomposed into significant IMF by Empirical Mode Decomposition.After performing the Hilbert transform,the IMFs can achieve the Hilbert spectra.It clearly shows the action of the natural frequency and prompting frequency.The Hilbert-Huang Transform does better than Fourier Transform in the time domain,which can show the dynamic character in time-frequency domain.The method is accurate and valid in the time-frequency analysis.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In order to analyze the dynamic response of linear 2-DOF system and identify the influence of all the factors on it,a new time-frequency method named Hilbert-Huang transform was applied in the time-frequency analysis of linear 2-DOF system,which was put forward by Norden E.Huang in USA.The dynamic response was decomposed into significant IMF by Empirical Mode Decomposition.After performing the Hilbert transform,the IMFs can achieve the Hilbert spectra.It clearly shows the action of the natural frequency and prompting frequency.The Hilbert-Huang Transform does better than Fourier Transform in the time domain,which can show the dynamic character in time-frequency domain.The method is accurate and valid in the time-frequency analysis.
Key concepts: Hilbert–Huang transform, Hilbert spectral analysis, Hilbert transform, Frequency domain, Fourier transform, Time–frequency analysis, Instantaneous phase, Mathematics