Results 131 to 140 of about 406 (163)

An MVMD-CCA Recognition Algorithm in SSVEP-Based BCI and Its Application in Robot Control

IEEE Transactions on Neural Networks and Learning Systems, 2022
This article proposes a novel recognition algorithm for the steady-state visual evoked potentials (SSVEP)-based brain-computer interface (BCI) system. By combining the advantages of multivariate variational mode decomposition (MVMD) and canonical correlation analysis (CCA), an MVMD-CCA algorithm is investigated to improve the detection ability of SSVEP
Di-Hua Zhai, Yuanqing Xia, Yuhan Xiong
exaly   +4 more sources

Milling process stability detection for curved workpiece based on MVMD and LSTM

International Journal of Advanced Manufacturing Technology, 2022
Hongyu Jin, Zhenyu Han, Hongya Fu
exaly   +2 more sources

An EEG Study of Virtual Reality Motion Sickness Based on MVMD Combined with Entropy Asymmetry

Lecture Notes in Electrical Engineering, 2023
Jianlong Tao
exaly   +2 more sources

Continuous Small Leakage Identification Method of Urban Pipeline Based on Improved MVMD Fusion Machine Learning

Journal of Nondestructive Evaluation
Abstract To address the challenge that continuous small leakage signals are easily disrupted by noise, resulting in a low recognition rate for urban pipeline leakage, we propose an improved multivariate variational mode decomposition (IMVMD) fusion machine learning method specifically for the recognition of continuous small leakages in urban ...
Yongmei Hao, Xing Zhi Xiang
exaly   +2 more sources

Incipient fault feature extraction of rolling bearings based on the MVMD and Teager energy operator

ISA Transactions, 2018
Aiming at the problems that the incipient fault of rolling bearings is difficult to recognize and the number of intrinsic mode functions (IMFs) decomposed by variational mode decomposition (VMD) must be set in advance and can not be adaptively selected, taking full advantages of the adaptive segmentation of scale spectrum and Teager energy operator ...
Jun, Ma, Jiande, Wu, Xiaodong, Wang
openaire   +2 more sources

Research on Rolling Bearing Fault Diagnosis based on MVMD Energy Entropy and ELM

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC), 2023
Linlin Chen, Quan Chen, Fulong Liu
exaly   +2 more sources

A Bi-Level Capacity Optimization Method for Hybrid Energy Storage Systems Combining the IBWO and MVMD Algorithms

Energies
With the swift evolution of renewable energy technologies, the design and optimization of microgrids have emerged as vital components for fostering energy transition and promoting sustainable development.
Qinyi Liao, Xiangjin Yin, Kai Qian, Qiaoqiao Xing, Da Qiu, Shidong Li, Yang Long, Yunxiang Li   +7 more
exaly   +2 more sources

MVMD-TCCA: A method for gesture classification based on surface electromyographic signals

Journal of Electromyography and Kinesiology
Gesture recognition plays a fundamental role in enabling nonverbal communication and interaction, as well as assisting individuals with motor impairments in performing daily tasks. Surface electromyographic (sEMG) signals, which can effectively detect and predict motor intentions, are integral to achieving accurate gesture classification.
Wenjie Chen, Shenke Zhang, Xiantao Sun, Cheng Zhang, Yuanyuan Liu   +4 more
exaly   +3 more sources

Multi-point deformation monitoring model of concrete arch dam based on MVMD and 3D-CNN

Applied Mathematical Modelling
Bowen Wei
exaly   +2 more sources

Seismic random noise attenuation using MVMD and MSSA

First International Meeting for Applied Geoscience & Energy Expanded Abstracts, 2021
Haoran Zhang, Yijie Zhang, Yang Yang, Naihao Liu, Zhiguo Wang, Jinghuai Gao   +5 more
openaire   +1 more source