... ABSTRACT This study presents a novel hybrid method combining Empirical Mode Decomposition (EMD) and Dynamic Mode Decomposition (DMD) for predicting ships’ motion, specifically the yaw angular velocity during a 35 ° turning motion of a KCS vessel used as testing data. The EMD method...

... level prediction model empirical mode decomposition emd tidal water level prediction Tidal water level prediction based on machine learning and empirical mode decomposition. Tao Song a, b, c, Jiaying Wang *, a, b, c, Jia Gao*, a, b, c, Lin Mu a, b, c a College of Marine Science and Technology...

... ABSTRACT This paper aims to introduce a new method for the analysis of non-linear and non-stationary signals. This method is based on empirical mode decomposition technology by decomposing signals into multiple eigenfunctions. But there is modal aliasing problem in this method. We combine...

... iceberg drift trajectory imf iceberg 3651 empirical mode decomposition tidal current iceberg velocity north direction oscillation iceberg iceberg 4 inertial current oscillation data quality amplitude Analysis of Iceberg Drift Trajectories Using the Multivariate Empirical Mode Decomposition...

... Sea-level Records Analysis with Improved Empirical Mode Decomposition (EMD) and Artificial Neural Networks (ANN) Han Soo Lee1 and Sooyoul Kim2 1 Graduate School for International development and Cooperation, Hiroshima University Higashi-Hiroshima, Hiroshima, Japan 2 Graduate School of Engineering...

... and reasonable when it is used in field test. Keywords: Offshore Platform; Modal Parameter Identification; Hilbert- Huang Transform (HHT); Empirical Mode Decomposition (EMD); Mode Mixing; Intermittency Check Criterion; Masking Signal; Fourier Filter INTRODUCTION The modal parameter identification...

... under mild environment. Field measurements were performed and vibration signals at different locations were recorded. Empirical mode decomposition (EMD) was applied to acquire the intrinsic mode functions (IMF). Then Hilbert-Huang transform (HHT) was used to compute the time-frequency distribution...

... ABSTRACT The use of the combined method of empirical mode decomposition (EMD) and Wigner-Ville distribution (WVD) is presented for the vibration-based damage detection of offshore platform model. Empirical mode decomposition is a time-series analysis approach that extracts a custom set...

.... INTRODUCTION Hilbert-Huang Transform (referred to as HHT), introduced by Huang in 1998, put forward a new time-domain data-processing method which is composed of two parts, Empirical Mode Decomposition (referred to as EMD) and Hilbert transform. Compare with the traditional modal parameter identification...

... We use the Hilbert-Huang Transform (HHT) for the spectral analysis of waves during a storm in the North Sea that took place in 1999. We look at the contribution of the different Intrinsic Mode Functions (IMF) obtained by the Empirical Mode Decomposition algorithm and also compare the Hilbert...

...Experimental investigation of wall-pressure fluctuations on a transiently moving hydrofoil by empirical mode decomposition S. Benramdane J-A. Astolfi J.C. Cexus and A.O. Boudraa IRENav(EA3634), Ecole Navale, Lanve´oc Poulmic, BP600 29240 Brest Arme´es, France E3I2(EA3876), ENSIETA Brest...

... of Empirical Mode Decomposition and Hilbert Transform (EMD/HT) (Huang et.al. 1998) has been effectively used to identify the parameters of nonstationary and nonlinear signals. Yang et.al (2000) used the EMD/HT algorithm along with random decrement technique, on the ambient response of structures...