..., the results will suffer a serious mode-mixing problem and contain a lot of noises which will lead to a bad result. In this paper, a new time-frequency analysis method based on the Hilbert transform is introduced, the Intrinsic mode functions (IMF) obtained by empirical mode decomposition (EMD) is redefined...

... to embed a nonlinear wave into a linear wave realization. In this work, a new procedure to embed a stream function wave into a linear wave realization is presented. The algorithm is based on the calculation of the Hilbert transform on a subset of the original time series containing the extreme event, from...

...A Study on the Nonlinear Roll Behavior of a FPSO Using Hilbert Transform Yooil Kim, Myung-Jin Park, Jang-Hyun Lee Department of Naval Architecture and Ocean Engineering, INHA University Incheon, Korea ABSTRACT Roll motion is a major concern of ship and offshore operators because it has a direct...

... the existence of structural damage. modal frequency outlier analysis environmental factor principal component analysis hilbert-huang transform novelty detection hilbert transform variation identification temperature variation machine learning artificial intelligence natural frequency damage...

... decomposition hilbert-huang transform frequency educational software vibration signal excessive vibration time-frequency distribution upstream oil & gas assessment field measurement data quality vibration hilbert transform imf intrinsic mode function educational technology subsea system...

... to 100 s) prediction of the actual sea surface elevation, named wave nowcasting . This is of primary importance to support marine operations of vessels in Offshore Engineering. The present study proposes a combined application of ANN and wave- grouping analysis based on the Hilbert transform...

.... 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...

... Long-term evolution of a narrow-banded nonlinear wave train is investigated experimentally. The wavelet analysis providing information in both time and frequency domain is employed to examine the local evolutionary characteristics of wave modulation. The zero-crossing method, Hilbert transform...

... mode decomposition (EMD) and Hilbert Transform (HT) is presented. The method developed is tested on model test results from a TLP installed in Gulf of Mexico at a depth of around 3000 ft. The whitenoise wave test results are processed using EMD/HT and compared with the results obtained from...

... the instantaneous amplitudes of the excited modes. In this work, a recently developed time-frequency method of signal analysis, the Hilbert spectrum, is assessed for this purpose. The Hilbert transform is a well-established technique for obtaining the instantaneous amplitude and frequency of a signal composed...

... Abstract The objective of this study is to justify the use of the Hilbert Transform, i.e., the Orbital Method, on analysis of wave statistics obtained from field data and simulated data. The results were also compared to those analyzed by the zero-up-crossing method and the modified zero-up...

... by scattered waves, time series measured up-stream can be used as input, introducing dispersion relations and FFT shift properties (Bracewell,1965). By mean of Hilbert transform properties (Papoulis, 1962), a correction method is developed allowing 3 r order wave number identification and a better correction...

... and develops a method for its calculation from a data set, based on the Hilbert transform and appropriate signal conditioning. Utilising data from an oscillating flow facility, the quasi-steady hypothesis is tested and shown to be well-founded for Kc ≈ 44 and 0.27 < steady current/oscillatory current...