Results 11 to 20 of about 98,906 (246)
Lagrangian single-particle turbulent statistics through the Hilbert-Huang transform [PDF]
Physical Review E, 2013 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 instantaneous frequency, _{i}(t).
Huang +9 more
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Power-Line Partial Discharge Recognition with Hilbert–Huang Transform Features
Energies, 2022 Partial discharge (PD) has caused considerable challenges to the safety and stability of high voltage equipment. Therefore, highly accurate and effective PD detection has become the focus of research.
Yulu Wang, Hsiao-dong Chiang, Na Dong
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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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Bearing Health Monitoring Based on Hilbert–Huang Transform, Support Vector Machine, and Regression
IEEE Transactions on Instrumentation and Measurement, 2015 International audienceThe detection, diagnostic and prognostic of bearing degradation play a key role in increasing the reliability and safety of electrical machines especially in key industrial sectors.
A. Soualhi, K. Medjaher, N. Zerhouni
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A review on Hilbert‐Huang transform: Method and its applications to geophysical studies
Reviews of Geophysics, 2008 N. Huang, Zhaohua Wu
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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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Computers & electrical engineering, 2023 The continuous and online monitoring of the condition of electrical machines is key to their safe operation. This study introduces a novel fault detection and diagnosis technique for continuous monitoring of faults in permanent magnet synchronous motors (
Ma’d El-Dalahmeh +5 more
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IEEE Access, 2021 Due to the simultaneous development of DC-microgrids (DC-MGs) and the use of intelligent control, monitoring and operation methods, as well as their structure, these networks can be threatened by various cyber-attacks.
M. Ghiasi +5 more
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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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