Seismic Random Noise Denoising Using Mini-Batch Multivariate Variational Mode Decomposition. [PDF]
Comput Intell Neurosci, 2022 Seismic noise attenuation plays an important role in seismic interpretation. The empirical mode decomposition, synchrosqueezing wavelet transform, variational mode decomposition, etc., are often applied trace by trace. Multivariate empirical mode decomposition, multivariate synchrosqueezing wavelet transform, and multivariate variational mode ...
Wu G, Liu G, Wang J, Fan P.
europepmc +2 more sources
The SSHVEP Paradigm-Based Brain Controlled Method for Grasping Robot Using MVMD Combined CNN Model
IEEE Transactions on Neural Systems and Rehabilitation EngineeringIn recent years, the steady-state visual evoked potentials (SSVEP) based brain control method has been employed to help people with disabilities because of its advantages of high information transmission rate and low training time.
Rui Li, Duanyang Bai, Zhijun Li
exaly +5 more sources
Mode decomposition-based time-varying phase synchronization for fMRI [PDF]
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 +2 more sources
ROTOR FAULT FEATURE EXTRACTION METHOD USING MVMD AND IEDPE (MT)
Jixie qiangdu, 2023 To accurately characterize the different operating states of the rotor system, a modified variational mode decomposition（MVMD） combined with instantaneous energy distribution permutation entropy（IEDPE） is proposed to quantify and extract rotor fault ...
WU YaoChun +6 more
doaj +1 more source
Short-term load forecasting using a metaheuristic optimized temporal fusion transformer with decomposition technique [PDF]
Frontiers in Artificial IntelligenceShort-term load forecasting plays a vital role in today's modern life to ensure the balance between energy demand and supply. Dynamic variations in weather and electricity consumption patterns can significantly influence load patterns, resulting in ...
Radhika Chandrasekaran +1 more
doaj +2 more sources
Smart Sensor-Based Monitoring Technology for Machinery Fault Detection [PDF]
SensorsRotary machines commonly use rolling element bearings to support rotation of the shafts. Most machine performance imperfections are related to bearing defects.
Ming Zhang, Xing Xing, Wilson Wang
doaj +2 more sources
A Novel EMG-Based Hand Gesture Recognition Framework Based on Multivariate Variational Mode Decomposition [PDF]
Sensors, 2021 Surface electromyography (sEMG) is a kind of biological signal that records muscle activity noninvasively, which is of great significance in advanced human-computer interaction, prosthetic control, clinical therapy, and biomechanics.
Kun Yang +4 more
doaj +2 more sources
A High-Precision Short-Term Photovoltaic Power Forecasting Model Based on Multivariate Variational Mode Decomposition and Gated Recurrent Unit-Attention with Crested Porcupine Optimizer-Enhanced Vector Weighted Average Algorithm [PDF]
SensorsThe increasing reliance on renewable energy sources, such as photovoltaic (PV) systems, is pivotal for achieving sustainable development and addressing global energy challenges. However, short-term power forecasting for distributed PV systems often faces
Jinxiang Pian, Xianliang Chen
doaj +2 more sources
A Field Verification Denoising Method for Partial Discharge Ultrasonic Sensors Based on IPSO-Optimated Multivariate Variational Mode Decomposition Combined with Improved Wavelet Transforms [PDF]
SensorsField verification of contact-type ultrasonic sensors enables rapid evaluation of their sensitivity performance, thereby ensuring the accuracy of partial discharge (PD) ultrasonic monitoring results.
Tienan Cao +8 more
doaj +2 more sources
Fault Diagnosis of Wind Turbine Gearbox Based on Improved Multivariate Variational Mode Decomposition and Ensemble Refined Composite Multivariate Multiscale Dispersion Entropy [PDF]
EntropyWind turbine planetary gearboxes have complex structures and operating environments, which makes it difficult to extract fault features effectively. In addition, it is difficult to achieve efficient fault diagnosis.
Xin Xia, Xiaolu Wang, Weilin Chen
doaj +2 more sources