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Publications by Jingyue Wang

Composite Fault Diagnosis of Gearbox Based on Empirical Mode Decomposition and Improved Variational Mode Decomposition

Journal of Low Frequency Noise Vibration and Active Control
BuildingMechanics of MaterialsUltrasonicsMechanical EngineeringCivilAcousticsStructural EngineeringConstructionGeophysics
2020English

Error Bounds for Finite-Difference Methods for Rudin-Osher-Fatemi Image Smoothing

2009English

Related publications

Gear Fault Diagnosis Based on Empirical Mode Decomposition and 1.5 Dimension Spectrum

Shock and Vibration
Mechanics of MaterialsGeotechnical EngineeringCondensed Matter PhysicsMechanical EngineeringCivilEngineering GeologyStructural Engineering
2016English

Polymer Electrolyte Membrane Fuel Cell Fault Diagnosis Based on Empirical Mode Decomposition

Journal of Power Sources
Electronic EngineeringSustainabilityEnergy EngineeringRenewable EnergyTheoretical ChemistryElectricalPower Technologythe EnvironmentPhysical
2015English

Mode Determination in Variational Mode Decomposition and Its Application in Fault Diagnosis of Rolling Element Bearings

SN Applied Sciences
2019English

A Novel Detrended Fluctuation Analysis Method for Gear Fault Diagnosis Based on Variational Mode Decomposition

Shock and Vibration
Mechanics of MaterialsGeotechnical EngineeringCondensed Matter PhysicsMechanical EngineeringCivilEngineering GeologyStructural Engineering
2018English

Empirical Mode Decomposition De-Noising Method Based on Improved Soft-Threshold

Advanced Engineering Forum
2011English

Fault Feature Extraction of Rolling Bearings Based on Variational Mode Decomposition and Singular Value Entropy

DEStech Transactions on Computer Science and Engineering
2017English

Model Validation Based on Ensemble Empirical Mode Decomposition

Advances in Adaptive Data Analysis
2010English

Analysis Method of Impact Echo Based on Variational Mode Decomposition

Journal of Vibroengineering
Materials ScienceMechanical Engineering
2018English

Superiorities of Variational Mode Decomposition Over Empirical Mode Decomposition Particularly in Time–frequency Feature Extraction and Wind Turbine Condition Monitoring

IET Renewable Power Generation
Renewable Energythe EnvironmentSustainability
2017English

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