Hilbert Huang Transform And Its Applications Pdf

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hilbert huang transform and its applications pdf

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Time-frequency and transient analysis have been widely used in signal processing and faults diagnosis. These methods represent important characteristics of a signal in both time and frequency domain.

Enhanced Empirical Mode Decomposition

The challenges and future trends in the development of HHT based techniques for the SHM of civil engineering structures are also put forward. It also reviews the basic principle of the HHT method, which contains the extraction of the intrinsic mode function IMF , mechanism of the EMD, and the features of HT; shows the application of HHT in the system identification, which contains the introduction of theoretical method, the identification of modal parameters, and the system identification on real structures; and discusses the structural damage detection using HHT based approaches, which includes the detection of common damage events, sudden damage events, and cracks and flaws. Structural health monitoring SHM is the process of establishing some knowledge of the current structural conditions or implementing a damage detection strategy for aerospace, civil, and mechanical engineering infrastructures. The SHM process involves the operational evaluation, data acquisition, fusion and cleansing, and feature extraction and discrimination [ 1 — 3 ]. The interest in the ability to monitor a structure and identify structural parameters and damages at the earliest possible stage is pervasive throughout the civil, mechanical, and aerospace engineering communities [ 4 — 6 ]. Doebling et al.

Seizure classification in EEG signals utilizing Hilbert-Huang transform

EMD filtering is less than ideal and can lead to misleading results. This difficulty is ameliorated by first subjecting the time-series to bandpass filtration, where the pass-band frequency range is sufficiently narrow that the entire pass-band is captured in a single IMF. A series of such filtrations are required to treat a multicomponent signal. Bandpass enhanced EMD is applied to a bat chirp signal. That the fundamental, the first, second, and part of the third harmonic are expressed, demonstrates the improved sensitivity of this method over the standard HHT approach. The fundamental and harmonics of this chirp have an exponential form with a decay rate proportional to the square root of the time. Unable to display preview.

As a classical method to deal with nonlinear and nonstationary signals, the Hilbert—Huang transform HHT is widely used in various fields. In order to overcome the drawbacks of the Hilbert—Huang transform such as end effects and mode mixing during the process of empirical mode decomposition EMD , a revised Hilbert—Huang transform is proposed in this article. A method called local linear extrapolation is introduced to suppress end effects, and the combination of adding a high-frequency sinusoidal signal to, and embedding a decorrelation operator in, the process of EMD is introduced to eliminate mode mixing. In addition, the correlation coefficients between the analyzed signal and the intrinsic mode functions IMFs are introduced to eliminate the undesired IMFs. Simulation results show that the improved HHT can effectively suppress end effects and mode mixing.

Curator: Norden E. Eugene M. Norden E. Steven R. It is an adaptive data analysis method designed specifically for analyzing data from nonlinear and nonstationary processes. The key part of the HHT is the EMD method with which any complicated data set can be decomposed into a finite and often small number of components, called intrinsic mode functions IMF.

Hilbert–Huang transform

Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. Hilbert-Huang Transform and its Application in Seismic Signal Processing Abstract: The detection of targets in military and security applications involves the usage of sensor systems which consist of a variety of sensors such as seismic, acoustic, magnetic and image ones as well.

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Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions.

Hilbert–Huang transform

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2 Comments

  1. Nicandro M. 03.02.2021 at 11:14

    The Hilbert—Huang transform HHT is a way to decompose a signal into so-called intrinsic mode functions IMF along with a trend, and obtain instantaneous frequency data.

  2. Petronila S. 05.02.2021 at 09:36

    The main part of the paper deals with application of the Hilbert-Huang transform (​HHT) to seismic signal processing in time and time-frequency.