A simulation method for nonstationary process is proposed based on the ensemble empirical mode decomposition (EEMD) and the empirical envelope (EE) methods: the EEMD is used to decompose a nonstationary process into several mono-component signals, and then the EE method is utilized to calculate the instantaneous characteristics of these mono-component signals; a simulated process can be constructed based on the distributions of the instantaneous characteristics of the mono-component signals. An earthquake ground motion recorded in chi-chi earthquake and a nonstationary wind speed induced by typhoon Rammasun are utilized to verify the accuracy and efficacy of the newly-developed method. Results show that: the EE method performs much better than the Hilbert transform (HT)-based method in calculating the instantaneous frequency; the proposed method can successfully capture the global and transient energy distributions of a nonstationary process; the nonstationary wind speed can be modeled as a uniformly modulated nonstationary process, while the earthquake ground motion should be modeled as a non-uniformly modulated nonstationary process. The proposed method does not include any pre-assumed modulation function or inappropriate assumption such as piece-wise stationarity. The method is applicable to the simulation of various types of nonstationary processes, and it can be extended to simulate multivariate nonstationary processes.
Simulation of Nonstationary Process Using Ensemble Empirical Mode Decomposition and Empirical Envelope Methods
KSCE J Civ Eng
KSCE Journal of Civil Engineering ; 24 , 11 ; 3289-3299
2020-11-01
11 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Applications of empirical mode decomposition for processing nonstationary signals
British Library Online Contents | 2008
|Pavement profile analysis using ensemble empirical mode decomposition
Online Contents | 2009
|Using empirical mode decomposition for ground filtering
IEEE | 2015
|