Results 21 to 30 of about 44,247 (243)

Adaptive Complex Variational Mode Decomposition for Micro-Motion Signal Processing Applications

Sensors, 2021
In order to suppress the strong clutter component and separate the effective fretting component from narrow-band radar echo, a method based on complex variational mode decomposition (CVMD) is proposed in this paper.
Saiqiang Xia, Jun Yang, Wanyong Cai, Chaowei Zhang, Liangfa Hua, Zibo Zhou   +5 more
doaj   +1 more source

Application of a flat variational modal decomposition algorithm in fault diagnosis of rolling bearings

Journal of Low Frequency Noise, Vibration and Active Control, 2020
Fault diagnosis of rolling bearings can effectively prevent sudden accidents and is an important factor for the safe operation of mechanical systems.
Haodong Li, Ying Xu, Dong An, Lixiu Zhang, Songhua Li, Huaitao Shi   +5 more
doaj   +1 more source

BBGKY Dynamics: from Localization to Pattern Formation [PDF]

, 2002
A fast and efficient numerical-analytical approach is proposed for modeling complex behaviour in the BBGKY--hierarchy of kinetic equations. Our calculations are based on variational and multiresolution approaches in the basis of polynomial tensor ...
Fedorova, Antonina N., Zeitlin, Michael G.   +1 more
core   +2 more sources

Air gap eccentric analysis and fault detection of traction motor

Journal of Engineering and Applied Science, 2023
To solve the problem of air gap eccentric fault of traction motor, the fault characteristic frequency is close to the fundamental frequency, and the decomposed frequency affects each other, which is easy to cause spectrum aliasing.
Jintian Yin, Zhilong He, Li Liu, Zhihua Peng   +3 more
doaj   +1 more source

Data-driven model reduction and transfer operator approximation [PDF]

, 2017
In this review paper, we will present different data-driven dimension reduction techniques for dynamical systems that are based on transfer operator theory as well as methods to approximate transfer operators and their eigenvalues, eigenfunctions, and ...
Kevrekidis, Ioannis, Klus, Stefan, Koltai, Péter, Noé, Frank, Nüske, Feliks, Schütte, Christof, Wu, Hao   +6 more
core   +2 more sources

Enhanced Discrimination of Seismic Geological Channels Based on Multi-Trace Variational Mode Decomposition

Applied Sciences, 2022
The spectral decomposition is a valuable tool for improving the resolution of seismic interpretation, and thus can improve the accuracy of the subtle geo-features (thin and narrow channels, thin reservoirs, etc.).
Jiaxuan Leng, Zhichao Yu, Chaodong Wu
doaj   +1 more source

Fault diagnosis of rolling bearings based on variational mode decomposition and calculus enhanced energy operator

工程科学学报, 2016
Aiming at the characteristics of rolling bearing fault vibration signals and considering the merits of variational mode decomposition in mono-component separation and calculus enhanced energy operator in transient impulse detection, this article ...
ZHANG Dong, FENG Zhi-peng
doaj   +1 more source

Domain Decomposition Method for Maxwell's Equations: Scattering off Periodic Structures [PDF]

, 2006
We present a domain decomposition approach for the computation of the electromagnetic field within periodic structures. We use a Schwarz method with transparent boundary conditions at the interfaces of the domains.
Achim Schädle, Benamou, Born, Burger, Bérenger, Collino, Collino, Després, Elschner, Elschner, Frank Schmidt, Gander, Hohage, Lassas, Lassas, Lee, Lin Zschiedrich, Petit, Pomplun, Rodríguez, Roland Klose, Schenk, Schenk, Schuster, Schädle, Shaidurov, Sven Burger, Zschiedrich, Zschiedrich   +28 more
core   +2 more sources

2-D Prony-Huang Transform: A New Tool for 2-D Spectral Analysis [PDF]

, 2014
This work proposes an extension of the 1-D Hilbert Huang transform for the analysis of images. The proposed method consists in (i) adaptively decomposing an image into oscillating parts called intrinsic mode functions (IMFs) using a mode decomposition ...
Borgnat, Pierre, Condat, Laurent, Flandrin, Patrick, Pustelnik, Nelly, Schmitt, Jérémy   +4 more
core   +2 more sources

Deep Prediction Model Based on Dual Decomposition with Entropy and Frequency Statistics for Nonstationary Time Series

Entropy, 2022
The prediction of time series is of great significance for rational planning and risk prevention. However, time series data in various natural and artificial systems are nonstationary and complex, which makes them difficult to predict.
Zhigang Shi, Yuting Bai, Xuebo Jin, Xiaoyi Wang, Tingli Su, Jianlei Kong   +5 more
doaj   +1 more source