Results 61 to 70 of about 44,291 (189)
Fault Feature Extraction Method of Gearbox based on Parameter Optimization VMD
In order to solve the problem that the signal-to-noise ratio of the gearbox fault signal is low and fault feature extraction is difficult,a method for extracting gearbox fault feature based on parameters optimized variational mode decomposition is ...
Ding Chengjun +3 more
doaj
Seismic attenuation estimation using multivariate variational mode decomposition
A seismic attenuation estimation approach is proposed based on multivariate variational mode decomposition (MVMD). MVMD, as a multivariable or multichannel signal processing tool, can extract several predefined multivariable modulation oscillations from ...
Jun-Zhou Liu +9 more
doaj +1 more source
Simulating generic spin-boson models with matrix product states
The global coupling of few-level quantum systems ("spins") to a discrete set of bosonic modes is a key ingredient for many applications in quantum science, including large-scale entanglement generation, quantum simulation of the dynamics of long-range ...
Rey, Ana Maria +2 more
core +1 more source
Localization and Coherent Structures in Wave Dynamics via Multiresolution [PDF]
We apply variational-wavelet approach for constructing multiscale high-localized eigenmodes expansions in different models of nonlinear waves. We demonstrate appearance of coherent localized structures and stable pattern formation in different collective
Fedorova, Antonina N. +1 more
core +2 more sources
Invariant measures of the 2D Euler and Vlasov equations [PDF]
We discuss invariant measures of partial differential equations such as the 2D Euler or Vlasov equations. For the 2D Euler equations, starting from the Liouville theorem, valid for N-dimensional approximations of the dynamics, we define the ...
Chavanis P H +17 more
core +3 more sources
A Source Localization Method Using Complex Variational Mode Decomposition
Source localization with a passive sensors array is a common topic in various areas. Among the popular source localization algorithms, the compressive sensing (CS)-based method has recently drawn considerable interest because it is a high-resolution method, robust with coherent sources and few snapshots, and applicable for mixed near-field and far ...
Qiuyan Miao +4 more
openaire +3 more sources
Non-intrusive load identification method based on VMD and PSO-SVM
Non-intrusive load monitoring is one of the important technologies of intelligent power consumption, among which load decomposition and identification is an important link to realize the technology.
YANG Rui +5 more
doaj +1 more source
The catalytic role of beta effect in barotropization processes [PDF]
The vertical structure of freely evolving, continuously stratified, quasi-geostrophic flow is investigated. We predict the final state organization, and in particular its vertical structure, using statistical mechanics and these predictions are tested ...
Griffies, S. M. +2 more
core +3 more sources
A Sequential Variational Mode Decomposition Method
In this paper, we introduce a sequential variational mode decomposition method to separate non-stationary mixed signals successively. This method is inspired by the variational method, and can precisely recover the original components one by one from the raw mixture without prior knowing or assuming the number of components. And in such a way, the mode
openaire +2 more sources
Fermions on an Interval: Quark and Lepton Masses without a Higgs
We consider fermions on an extra dimensional interval. We find the boundary conditions at the ends of the interval that are consistent with the variational principle, and explain which ones arise in various physical circumstances.
A. Pomarol +60 more
core +1 more source

