A refined Hilbert–Huang transform with applications to interarea oscillation monitoring
DS Laila, AR Messina, BC Pal - IEEE Transactions on Power …, 2009 - ieeexplore.ieee.org
This paper focuses on the refinement of standard Hilbert-Huang transform (HHT) technique
to accurately characterize time varying, multicomponents interarea oscillations. Several …
to accurately characterize time varying, multicomponents interarea oscillations. Several …
Analysis of nonstationary power-quality waveforms using iterative Hilbert Huang transform and SAX algorithm
The nonstationary nature of power-quality (PQ) waveforms requires a tool that can
accurately analyze and visually identify the instants of transitions. One of the recently …
accurately analyze and visually identify the instants of transitions. One of the recently …
Generator coherency using the Hilbert–Huang transform
N Senroy - IEEE Transactions on power systems, 2008 - ieeexplore.ieee.org
Coherency between generators is tracked, by examining the instantaneous phase
differences among interarea oscillations and swing curves in disturbed multiarea power …
differences among interarea oscillations and swing curves in disturbed multiarea power …
Nonlinear system identification of frictional effects in a beam with a bolted joint connection
We perform nonlinear system identification (NSI) of the effects of frictional connections in the
dynamics of a bolted beam assembly. The methodology utilized in this work combines …
dynamics of a bolted beam assembly. The methodology utilized in this work combines …
Wavelet-bounded empirical mode decomposition for measured time series analysis
Empirical mode decomposition (EMD) is a powerful technique for separating the transient
responses of nonlinear and nonstationary systems into finite sets of nearly orthogonal …
responses of nonlinear and nonstationary systems into finite sets of nearly orthogonal …
On Hilbert transform methods for low frequency oscillations detection
D Lauria, C Pisani - IET Generation, Transmission & …, 2014 - Wiley Online Library
This study tackles the issue of electromechanical modes identification through a
measurement‐based methodology employing a novel signal decomposition theorem based …
measurement‐based methodology employing a novel signal decomposition theorem based …
Optimal trajectory planning of motor torque and clutch slip speed for gear shift of a two-speed electric vehicle
In order to improve the shift quality of a two-speed inverse automated manual transmission (I-
AMT) of electric vehicle (EV), optimal control is used to generate the reference trajectories of …
AMT) of electric vehicle (EV), optimal control is used to generate the reference trajectories of …
IMF mode demixing in EMD for jitter analysis
We propose a novel noise cancellation method based on the scale-adaptive remixing and
demixing of Intrinsic Mode Functions (IMFs) constructed using Empirical Mode …
demixing of Intrinsic Mode Functions (IMFs) constructed using Empirical Mode …
A comparative investigation of mode mixing in EEG decomposition using EMD, EEMD and M-EMD
R Ho, K Hung - 2020 IEEE 10th Symposium on Computer …, 2020 - ieeexplore.ieee.org
This paper presents and discusses the empirical mode decomposition method (EMD), its
mode mixing problem and the primary causes of it. The ensemble EMD (EEMD) and …
mode mixing problem and the primary causes of it. The ensemble EMD (EEMD) and …
Strongly nonlinear beats in the dynamics of an elastic system with a strong local stiffness nonlinearity: Analysis and identification
We consider a linear cantilever beam attached to ground through a strongly nonlinear
stiffness at its free boundary, and study its dynamics computationally by the assumed-modes …
stiffness at its free boundary, and study its dynamics computationally by the assumed-modes …