Results 21 to 30 of about 3,492,245 (278)

Mine cable partial discharge denoising method based on multivariate variational mode decomposition and improved wavelet threshold [PDF]

Meitan xuebao
The insulation state of the mine cable plays an important role in the stable operation of the mine power supply system. Partial discharge on-line monitoring is an important means of cable insulation state monitoring.
Jiyuan CAO, Yanwen WANG, Peng CHEN, Xuan ZHOU, Weixiong ZHU, Yihe ZHANG, Le WANG   +6 more
doaj   +2 more sources

Deep learning hybrid models with multivariate variational mode decomposition for estimating daily solar radiation

Alexandria Engineering Journal
Solar energy is one of the renewable and clean energy sources. Accurate solar radiation (SR) estimates are therefore needed in solar energy applications.
Shahab S. Band, Sultan Noman Qasem, Rasoul Ameri, Hao-Ting Pai, Brij B. Gupta, Saeid Mehdizadeh, Amir Mosavi   +6 more
doaj   +2 more sources

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   +3 more sources

Hyperparameter optimization of support vector machine using adaptive differential evolution for electricity load forecasting

Energy Reports, 2022
Peak load forecasting plays an integral part in the planning and operating of energy plants for the utility companies and policymakers to devise reliable and stable power infrastructure.
M. Zulfiqar, M. Kamran, M.B. Rasheed, T. Alquthami, A.H. Milyani   +4 more
doaj   +1 more source

Mode decomposition-based time-varying phase synchronization for fMRI

NeuroImage, 2022
Recently, there has been significant interest in measuring time-varying functional connectivity (TVC) between different brain regions using resting-state functional magnetic resonance imaging (rs-fMRI) data.
Hamed Honari, Martin A. Lindquist
doaj   +1 more source

Detecting and Diagnosing Process Nonlinearity- Induced Unit-Wide Oscillations Based on an Optimized Multivariate Variational Mode Decomposition Method

IEEE Access, 2022
In process control system, nonlinearity-induced unit-wide oscillations are a common fault, which degrades the control performance and threaten the stability.
Zhuliang Lin, Min Sun, Xialai Wu
doaj   +1 more source

Measuring center of pressure signals to quantify human balance using multivariate multiscale entropy by designing a force platform [PDF]

, 2013
Copyright © 2013 by the authors. To assess the improvement of human body balance, a low cost and portable measuring device of center of pressure (COP), known as center of pressure and complexity monitoring system (CPCMS), has been developed for data ...
Huang, C-W, Jiang, BC, Shieh, J-S, Sue, PD, Maysam F. Abbod, Bernard Jiang, Jiann-Shing Shieh, Huang, CW, Maysam Abbod, Pei-Der Sue, Shieh, JS, Abbod, MF, Bernard C. Jiang, Cheng-Wei Huang, Sue, P-D   +14 more
core   +1 more source

Analyse des modes empiriques : une approche EDP [PDF]

, 2010
The empirical mode decomposition is a powerful tool for signal processing. Because of its original algorithmic, recent works have contributed to its theoretical framework.
DIOP, El Hadji, ALEXANDRE, Radjesvarane, BOUDRAA, Abdel-Ouahab   +2 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

A Novel Multivariate Cutting Force-Based Tool Wear Monitoring Method Using One-Dimensional Convolutional Neural Network

Sensors, 2022
Tool wear condition monitoring during the machining process is one of the most important considerations in precision manufacturing. Cutting force is one of the signals that has been widely used for tool wear condition monitoring, which contains the ...
Xu Yang, Rui Yuan, Yong Lv, Li Li, Hao Song   +4 more
doaj   +1 more source