A Revised Hilbert–Huang Transform and Its Application to Fault Diagnosis in a Rotor System [PDF]
Sensors, 2018 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
Hongjun Wang, Yongjian Ji
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Biomechanical Analysis of Golf Swing Motion Using Hilbert–Huang Transform [PDF]
Sensors, 2023 In golf swing analysis, high-speed cameras and Trackman devices are traditionally used to collect data about the club, ball, and putt. However, these tools are costly and often inaccessible to golfers.
Ran Dong, Soichiro Ikuno
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Spectral denoising based on Hilbert–Huang transform combined with F-test [PDF]
Frontiers in Chemistry, 2022 Due to the influence of uncontrollable factors such as the environment and instruments, noise is unavoidable in a spectral signal, which may affect the spectral resolution and analysis result.
Xihui Bian +8 more
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Spectral Analysis of Electricity Demand Using Hilbert–Huang Transform [PDF]
Sensors, 2020 The large amount of sensors in modern electrical networks poses a serious challenge in the data processing side. For many years, spectral analysis has been one of the most used approaches to extract physically meaningful information from a sea of data ...
Joaquin Luque +3 more
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Horizontal-to-Vertical Spectral Ratio of Ambient Vibration Obtained with Hilbert–Huang Transform [PDF]
Sensors, 2021 The Horizontal-to-Vertical Spectral Ratio (HVSR) of ambient vibration measurements is a common tool to explore near surface shear wave velocity (Vs) structure. HVSR is often applied for earthquake risk assessments and civil engineering projects.
Maik Neukirch +5 more
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Method for Fault Diagnosis of Temperature-Related MEMS Inertial Sensors by Combining Hilbert–Huang Transform and Deep Learning [PDF]
Sensors, 2020 In this paper, we propose a novel method for fault diagnosis in micro-electromechanical system (MEMS) inertial sensors using a bidirectional long short-term memory (BLSTM)-based Hilbert–Huang transform (HHT) and a convolutional neural network (CNN ...
Tong Gao +5 more
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Seizure classification in EEG signals utilizing Hilbert-Huang transform [PDF]
BioMedical Engineering OnLine, 2011 Background Classification method capable of recognizing abnormal activities of the brain functionality are either brain imaging or brain signal analysis.
Abdulhay Enas W, Oweis Rami J
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An instantaneous frequency analysis method of stay cables
Journal of Low Frequency Noise, Vibration and Active Control, 2021 This paper presents and evaluates in detail a conjugate-pair decomposition method for tracking the instantaneous frequency of a vibration signal by processing only three (or more) most recent data points, and Probability Box theory was employed to obtain
Rumian Zhong, P Frank Pai
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SPECTRAL ESTIMATION OF TIME SERIES
Современная наука и инновации, 2022 As a result of spectral analysis, namely, the fast Fourier transform (FFT) method, the wavelet transform method, the Hilbert-Huang transform method, certain periods of the time series representing the monthly average values of the sunspot numbers were ...
L. N. Dzhimbeeva +5 more
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Crack detection in beams using Hilbert-Huang transform [PDF]
مجله مدل سازی در مهندسی, 2018 This study presents a non-destructive method for detecting location and depth of crack in beams. The method utilizes Hilbert-Huang Transform (HHT) as a time-series analysis technique.
Mohammad Reza Galeban, Shapour Moradi
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