Adaptive Diagnosis for Rotating Machineries Using Information Geometrical Kernel-Elm Based on VMD-SVD

Entropy - Switzerland
doi 10.3390/e20010073
Full Text
Abstract

Available in full text

Date
Authors
Publisher

MDPI AG

Related search

Feature Extraction Based on Adaptive Multiwavelets and LTSA for Rotating Machinery Fault Diagnosis

Shock and Vibration
Mechanics of MaterialsGeotechnical EngineeringCondensed Matter PhysicsMechanical EngineeringCivilEngineering GeologyStructural Engineering
2019English

The Hybrid Method of VMD-PSR-SVD and Improved Binary PSO-KNN for Fault Diagnosis of Bearing

Shock and Vibration
Mechanics of MaterialsGeotechnical EngineeringCondensed Matter PhysicsMechanical EngineeringCivilEngineering GeologyStructural Engineering
2019English

Geometrical Interpretation of Singular Value Decomposition(Svd) & Applications of SVD

International Journal of Scientific and Innovative Mathematical Research
2017English

Weak Fault Signal Detection of Rotating Machinery Based on Multistable Stochastic Resonance and VMD-AMD

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

Gear Fault Diagnosis Based on Kurtosis Criterion VMD and SOM Neural Network

Applied Sciences (Switzerland)
InstrumentationMaterials ScienceFluid FlowEngineeringComputer Science ApplicationsProcess ChemistryTransfer ProcessesTechnology
2019English

Adaptive ADER Methods Using Kernel-Based Polyharmonic Spline WENO Reconstruction

SIAM Journal of Scientific Computing
Computational MathematicsApplied Mathematics
2010English

Concurrent Fault Diagnosis for Rotating Machinery Based on Vibration Sensors

International Journal of Distributed Sensor Networks
Computer NetworksEngineeringCommunications
2013English

Research on Fault Diagnosis Model of Rotating Machinery Vibration Based on Information Entropy and Improved SVM

E3S Web of Conferences
EarthEnergyPlanetary SciencesEnvironmental Science
2019English

Tensorial Kernel Based on Spatial Structure Information for Neuroimaging Classification

IEICE Transactions on Information and Systems
Electronic EngineeringPattern RecognitionHardwareComputer VisionElectricalArchitectureArtificial IntelligenceSoftware
2017English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy