A mixed signal with several unknown modes is common in the industry and hard to decompose. Variational Mode Decomposition (VMD) was proposed decompose a into amplitude-modulated 2014, which overcame limitations of Empirical (EMD), such as sensitivity noise sampling. We propose an improved VMD, simplified iVMD. In new algorithm, we further study improve mathematical model VMD adapt decomposition...

To eliminate the noise from signals received by MEMS vector hydrophone, a joint algorithm is proposed in this paper based on wavelet threshold (WT) denoising, variational mode decomposition (VMD) optimized hybrid of Multiverse Optimizer (MVO) and Particle Swarm Optimization (PSO), correlation coefficient (CC) judgment to perform signal denoising named as MVO-PSO-VMD-CC-WT, whose fitness functio...

Prediction of building energy consumption using mathematical modeling is crucial for improving the efficiency utilization, assisting in planning and scheduling, further achieving goal conservation emission reduction. In consideration non-linear non-smooth characteristics time series data, a short-term, hybrid prediction model combining variational mode decomposition (VMD), simulated annealing (...

Abstract Due to the fact that measured vibration signals from a bearing are complex and non-stationary in nature, impulse characteristics always immersed stochastic noise, it is usually difficult diagnose fault symptoms manually. A novel hybrid diagnosis approach developed for denoising classification this work, which combines successfully variational mode decomposition (VMD) one-dimensional co...

Precise and reliable monthly runoff prediction plays a vital role in the optimal management of water resources, but nonstationarity skewness time series can pose major challenges for developing appropriate models. To address these issues, this paper proposes novel hybrid model by introducing variational mode decomposition (VMD) Box–Cox transformation (BC) into Elman neural network (Elman), name...

PLUMED-GUI is an interactive environment to develop and test complex PLUMED scripts within the Visual Molecular Dynamics (VMD) environment. Computational biophysicists can take advantage of both PLUMED’s rich syntax to define collective variables (CVs) and VMD’s chemically-aware atom selection language, while working within a natural point-and-click interface. Pre-defined templates and syntax m...

We present a VMD based model aiming to describe all radiative decays of light mesons. We show that the SU(3) breaking mechanism proposed by Bando, Kugo and Yamawaki (BKY), supplemented by nonet symmetry breaking in the pseudoscalar sector are sufficient to provide a nice description of all data, except the K radiative width. It is also shown that nonet symmetry breaking has effects which cannot...

In this paper we present the telemedical environment based on VMDs implemented with Java mobile agent technology, called aglets. The agent based VMD implementation provides ad-hoc agent interaction, support for mobile agents and different user interface components in the telemedical system. We have developed a VMD agent framework with four types of agents: data agents, processing agents, presen...