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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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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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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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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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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Lagrangian single particle turbulent statistics through the Hilbert-Huang Transform [PDF]
Physical Review E, 2012 The Hilbert-Huang transform is applied to analyze single particle Lagrangian velocity data from numerical simulations of hydrodynamic turbulence. The velocity trajectory is described in terms of a set of intrinsic mode functions, C_{i}(t), and of their ...
Biferale, Luca +4 more
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Time-trend analysis of the center frequency of the intrinsic mode function from the Hilbert–Huang transform of electroencephalography during general anesthesia: a retrospective observational study [PDF]
BMC Anesthesiology, 2023 Background Anesthesiologists are required to maintain an optimal depth of anesthesia during general anesthesia, and several electroencephalogram (EEG) processing methods have been developed and approved for clinical use to evaluate anesthesia depth ...
Yurie Obata +3 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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Power System Parameters Forecasting Using Hilbert-Huang Transform and Machine Learning [PDF]
Известия Иркутского государственного университета: Серия "Математика", 2014 A novel hybrid data-driven approach is developed for forecasting power system parameters with the goal of increasing the efficiency of short-term forecasting studies for non-stationary time-series. The proposed approach is based on mode decomposition and
V.G. Kurbatsky +5 more
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