Results 11 to 20 of about 58,877 (128)

The Partial Reconstruction Symplectic Geometry Mode Decomposition and Its Application in Rolling Bearing Fault Diagnosis. [PDF]

open access: yesSensors (Basel), 2023
Extracting the fault characteristic information of rolling bearings from intense noise disturbance has been a heated research issue. Symplectic geometry mode decomposition (SGMD) has already been adopted for bearing fault diagnosis due to its advantages ...
Liu Y   +5 more
europepmc   +2 more sources

Fault Feature Extraction of Hydraulic Pumps Based on Symplectic Geometry Mode Decomposition and Power Spectral Entropy. [PDF]

open access: yesEntropy (Basel), 2019
Aiming at fault feature extraction of a hydraulic pump signal, a new method based on symplectic geometry mode decomposition (SGMD) and power spectral entropy (PSE) is proposed.
Zheng Z, Xin G.
europepmc   +2 more sources

Comprehensive Separation Algorithm for Single-Channel Signals Based on Symplectic Geometry Mode Decomposition. [PDF]

open access: yesSensors (Basel)
This paper aims to explore the difficulty of obtaining source signals from complex mixed signals and the issue that the FastICA algorithm cannot directly decompose the received single-channel mixed signals and distort the signal separation in low signal ...
Wang X, Zhao J, Wu X.
europepmc   +2 more sources

Symplectic Bregman Divergences. [PDF]

open access: yesEntropy (Basel)
We present a generalization of Bregman divergences in finite-dimensional symplectic vector spaces that we term symplectic Bregman divergences. Symplectic Bregman divergences are derived from a symplectic generalization of the Fenchel–Young inequality ...
Nielsen F.
europepmc   +2 more sources

Basic Notions of Poisson and Symplectic Geometry in Local Coordinates, with Applications to Hamiltonian Systems

open access: yesUniverse, 2022
This work contains a brief and elementary exposition of the foundations of Poisson and symplectic geometries, with an emphasis on applications for Hamiltonian systems with second-class constraints.
Alexei A. Deriglazov
doaj   +1 more source

Roller Bearing Fault Diagnosis Based on Partial Reconstruction Symplectic Geometry Mode Decomposition and LightGBM

open access: yesIEEE Access, 2023
It is always a hot and challenging problem to extract the characteristic information of roller bearings from strong noise interference. Conventional Hilbert-Huang Transform (HHT), Local Mean Decomposition (LMD), Local Feature-Scale Decomposition (LCD ...
Yanfei Liu   +5 more
doaj   +1 more source

Global Geometry of Bayesian Statistics

open access: yesEntropy, 2020
In the previous work of the author, a non-trivial symmetry of the relative entropy in the information geometry of normal distributions was discovered. The same symmetry also appears in the symplectic/contact geometry of Hilbert modular cusps. Further, it
Atsuhide Mori
doaj   +1 more source

The Characterization of Affine Symplectic Curves in ℝ4

open access: yesMathematics, 2019
Symplectic geometry arises as the natural geometry of phase-space in the equations of classical mechanics. In this study, we obtain new characterizations of regular symplectic curves with respect to the Frenet frame in four-dimensional symplectic space ...
Esra Çiçek Çetin, Mehmet Bektaş
doaj   +1 more source

Existence and Uniqueness of Weak Homotopy Moment Maps [PDF]

open access: yes, 2018
In this paper we show that the classical results on the existence and uniqueness of moment maps in symplectic geometry generalize directly to weak homotopy moment maps in multisym- plectic geometry.
Herman, Jonathan
core   +2 more sources

Train Axlebox Bearing Fault Diagnosis Based on MSC-SGMD. [PDF]

open access: yesSensors (Basel), 2023
Train axlebox bearings are subject to harsh service conditions, and the difficulty of diagnosing compound faults has brought greater challenges to the maintenance of high–quality train performance.
Bai Y, Xue H, Chen J.
europepmc   +2 more sources

Home - About - Disclaimer - Privacy