Results 21 to 30 of about 7,852 (282)

DYNAMIC UNBALANCE DETECTION OF CARDAN SHATF IN HIGH-SPEED TRAIN BASED ON MODIFIED VARIATIONAL MODE DECOMPOSITION

Jixie qiangdu, 2017
Aiming at the adverse influence of penalty parameter and mode number on the VMD（ variational mode decomposition）,a newly MVMD（ modification variational mode decomposition） was proposed through the information entropy difference.
HONG JianFeng, DING JianMing, LIN JianHui, ZHENG ShuBin   +3 more
doaj   +2 more sources

Suppression of Strong Cultural Noise in Magnetotelluric Signals Using Particle Swarm Optimization-Optimized Variational Mode Decomposition

Applied Sciences
To effectively separate strong cultural noise in Magnetotelluric (MT) signals under strong interference conditions and restore the true forms of apparent resistivity and phase curves, this paper proposes an improved method for suppressing strong cultural
Zhongda Shang, Xinjun Zhang, Shen Yan, Kaiwen Zhang   +3 more
doaj   +2 more sources

Total-Variation Mode Decomposition [PDF]

, 2021
In this work we analyze the Total Variation (TV) flow applied to one dimensional signals. We formulate a relation between Dynamic Mode Decomposition (DMD), a dimensionality reduction method based on the Koopman operator, and the spectral TV decomposition. DMD is adapted by time rescaling to fit linearly decaying processes, such as the TV flow.
Ido Cohen 0001, Tom Berkov, Guy Gilboa
openaire   +1 more source

Gearbox Condition Monitoring based on Variational Mode Decomposition

Jixie chuandong, 2016
As to the fault diagnosis difficulty caused by the fact that fault feature is possible not obvious in mechanical transmission system,a method based on variational mode decomposition and FCM is proposed for gearbox condition monitoring.
Wu Yingjie, Liu Changliang, Zhen Chenggang, Zhao Yaliang   +3 more
doaj   +2 more sources

A data-driven approach for linear and nonlinear damage detection using variational mode decomposition and GARCH model [PDF]

, 2022
In this article, an original data-driven approach is proposed to detect both linear and nonlinear damage in structures using output-only responses.
Yang, TY, Kalbkhan, Hashem, Kalbkhani, Hashem, Ehsan Noroozinejad Farsangi, T. Y. Yang, Gharehbaghi, Vahidreza, Noroozinejad Farsangi, Ehsan (R21087), Hashem Kalbkhani, Seyedali Mirjalili, Gharehbaghi, Vahid Reza, Farsangi, Ehsan Noroozinejad, Vahid Reza Gharehbaghi, Mirjalili, Seyedali, Yang, T. Y.   +13 more
core   +1 more source

Rolling Bearing Fault Diagnosis Based on VMD-MPE and PSO-SVM

Entropy, 2021
The goal of the paper is to present a solution to improve the fault detection accuracy of rolling bearings. The method is based on variational mode decomposition (VMD), multiscale permutation entropy (MPE) and the particle swarm optimization-based ...
Maoyou Ye, Xiaoan Yan, Minping Jia
doaj   +1 more source

Multivariate Variational Mode Decomposition [PDF]

IEEE Transactions on Signal Processing, 2019
In this paper, a generic extension of variational mode decomposition (VMD) algorithm for multivariate or multichannel data sets is presented. We first define a model for multivariate modulated oscillations that is based on the presence of a joint or common frequency component among all channels of input data.
Naveed ur Rehman, Hania Aftab
openaire   +2 more sources

Variational mode decomposition: mode determination method for rotating machinery diagnosis [PDF]

, 2018
Variational mode decomposition (VMD) is a modern decomposition method used for many engineering monitoring and diagnosis recently, which replaced traditional empirical mode decomposition (EMD) method.
Z. Asrar Ahmad, M. Salman Leong, M. Hee Lim, M. Firdaus Isham   +3 more
core   +3 more sources

Variational mode decomposition based random forest model for solar radiation forecasting: New emerging machine learning technology

, 2021
Forecasting of solar radiation (Radn) can provide an insight vision for the amount of green and friendly energy sources. Owing to the non-linearity and non-stationarity challenges caused by meteorological variables in forecasting Radn, a variational mode
Yaseen, Zaher Mundher, Zong, Tianrui, Prasad, Ramendra, Ali, Mumtaz, Xiang, Yong, Khan, Mohsin, Farooque, Aitazaz Ahsan   +6 more
core   +1 more source

Mutual Interference Mitigation of Millimeter-Wave Radar Based on Variational Mode Decomposition and Signal Reconstruction

, 2023
As an important remote sensing technology, millimeter-wave radar is used for environmental sensing in many fields due to its advantages of all-day, all-weather operation.
Bo Feng, Yanbing Li, Weichuan Zhang, Feng, Bo, Zhang, Weichuan, Li, Yanbing   +5 more
core   +1 more source