Journal ArticleDOI
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
Norden E. Huang,Zheng Shen,Steven R. Long,Man-Li C. Wu,Hsing H. Shih,Quanan Zheng,Nai-Chyuan Yen,C. C. Tung,Henry H. Liu +8 more
TLDR
In this paper, a new method for analysing nonlinear and nonstationary data has been developed, which is the key part of the method is the empirical mode decomposition method with which any complicated data set can be decoded.Abstract:
A new method for analysing nonlinear and non-stationary data has been developed. The key part of the method is the empirical mode decomposition method with which any complicated data set can be dec...read more
Citations
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EMD-based random decrement technique for modal parameter identification of an existing railway bridge
TL;DR: In this article, an EMD-based random decrement (RD) technique is presented to identify modal parameters from monitoring vibrational data, where the nonstationary measurement data are first decomposed into a series of quasi-stationary intrinsic mode functions (IMFs) by EMD and then applied to the selected IMFs to obtain the free-decay response.
Journal ArticleDOI
Hybrid Variational Mode Decomposition and evolutionary robust kernel extreme learning machine for stock price and movement prediction on daily basis
TL;DR: The prediction analysis illustrated in this work proves the superiority of the VMD-RKELM model over the other predictive methods.
Journal ArticleDOI
Internal Leakage Detection in Hydraulic Actuators Using Empirical Mode Decomposition and Hilbert Spectrum
TL;DR: The applicability of Hilbert-Huang transform (HHT) for internal leakage detection in valve-controlled hydraulic actuators is investigated and the root mean square of the instantaneous amplitude associated with the first IMF establishes feature patterns that can be effectively used to detect internal leakage and its severity.
Journal ArticleDOI
Identifying the oil price-macroeconomy relationship: An empirical mode decomposition analysis of US data
TL;DR: In this paper, the authors employed the empirical mode decomposition (EMD) method to filter cyclical components of US quarterly gross domestic product (GDP) and quarterly average oil price (WTI).
Journal ArticleDOI
The Long-term Variation of Extreme Heavy Precipitation and Its Link to Urbanization Effects in Shanghai during 1916-2014
Ping Liang,Yihui Ding +1 more
TL;DR: Wang et al. as mentioned in this paper analyzed the long-term variation of extreme heavy precipitation in Shanghai on multiple spatial and temporal scales, and the effects of urbanization on hourly rainstorms.
References
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