Results 11 to 20 of about 26,466 (149)

Research on Multi-Domain Fault Diagnosis of Gearbox of Wind Turbine Based on Adaptive Variational Mode Decomposition and Extreme Learning Machine Algorithms

open access: yesEnergies, 2020
Since variational mode decomposition (VMD) was proposed, it has been widely used in condition monitoring and fault diagnosis of mechanical equipment. However, the parameters K and α in the VMD algorithm need to be set before decomposition, which ...
Hui Li   +5 more
doaj   +1 more source

Software pipeline for predicting and analyzing the structure of the receptor–ligand

open access: yesУчёные записки Казанского университета: Серия Физико-математические науки, 2022
It is of fundamental importance in pharmacology and theoretical biology to analyze the binding of ligands to receptors. A better understanding of this process and its outcomes can help predict the following: how the protein interacts with ligands ...
A.S. Kozlova   +3 more
doaj   +1 more source

Fusion of GNSS and Speedometer Based on VMD and Its Application in Bridge Deformation Monitoring

open access: yesSensors, 2020
Real-time dynamic displacement and spectral response on the midspan of Jiangyin Bridge were calculated using Global Navigation Satellite System (GNSS) and a speedometer for the purpose of understanding the dynamic behavior and the temporal evolution of ...
Ruicheng Zhang   +3 more
doaj   +1 more source

An Online Hybrid Model for Temperature Prediction of Wind Turbine Gearbox Components

open access: yesEnergies, 2019
Condition monitoring can improve the reliability of wind turbines, which can effectively reduce operation and maintenance costs. The temperature prediction model of wind turbine gearbox components is of great significance for monitoring the operation ...
Qiang Zhao   +4 more
doaj   +1 more source

Effective automated method for detection and suppression of muscle artefacts from single-channel EEG signal

open access: yesHealthcare Technology Letters, 2020
This Letter proposes an automated method for the detection and suppression of muscle artefacts (MAs) in the single-channel electroencephalogram (EEG) signal based on variational mode decomposition (VMD) and zero crossings count threshold criterion ...
Manali Saini   +2 more
doaj   +1 more source

Evaluation method of spindle performance degradation based on VMD and random forests

open access: yesThe Journal of Engineering, 2019
As one of the core components of the machine tool, the reliability of spindle is very important for improving machine tool quality. To effectively evaluate the performance degradation degree of the spindle, a method of degradation evaluation of the ...
Pangshi Wei, Hongjun Wang
doaj   +1 more source

VMD DisRg: New User-Friendly Implement for calculation distance and radius of gyration in VMD program [PDF]

open access: yesBioinformation, 2012
Molecular dynamic simulation is a practical and powerful technique for analysis of protein structure. Several programs have been developed to facilitate the mentioned investigation, under them the visual molecular dynamic or VMD is the most frequently used programs.
Falsafi-Zadeh, Sajad   +2 more
openaire   +2 more sources

Neural Network-Based Hybrid Forecasting Models for Time-Varying Passenger Flow of Intercity High-Speed Railways

open access: yesMathematics, 2022
Time-varying passenger flow is the input data in the optimization design of intercity high-speed railway transportation products, and it plays an important role.
Huanyin Su   +3 more
doaj   +1 more source

VMD-SS: A graphical user interface plug-in to calculate the protein secondary structure in VMD program [PDF]

open access: yesBioinformation, 2014
The investigation on the types of secondary structure (SS) of a protein is important. The evolution of secondary structures during molecular dynamics simulations is a useful parameter to analyze protein structures. Therefore, it is of interest to describe VMD-SS (a software program) for the identification of secondary structure elements and its ...
Yahyavi, Masoumeh   +4 more
openaire   +2 more sources

Electric vehicle charging load prediction method based on multi-objective modal decomposition and NAHL neural network

open access: yesDiance yu yibiao
To improve the accuracy of electric vehicle charging load prediction, a prediction method based on multi-objective variational mode decomposition (VMD) and automatic artificial neural network with an augmented hidden layer (NAHL) is proposed.
GUO Xinzhe   +5 more
doaj   +1 more source

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