Three-Stage Hybrid Fault Diagnosis for Rolling Bearings With Compressively-Sampled Data and Subspace Learning Techniques

IEEE Transactions on Industrial Electronics - United States
doi 10.1109/tie.2018.2868259
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Related search

Semantic Subspace Learning for Text Classification Using Hybrid Intelligent Techniques

International Journal of Hybrid Intelligent Systems
2011English

An Improved Method of EWT and Its Application in Rolling Bearings Fault Diagnosis

Shock and Vibration
Mechanics of MaterialsGeotechnical EngineeringCondensed Matter PhysicsMechanical EngineeringCivilEngineering GeologyStructural Engineering
2020English

The Shock Pulse Index and Its Application in the Fault Diagnosis of Rolling Element Bearings

Sensors
InstrumentationInformation SystemsElectronic EngineeringBiochemistryAnalytical ChemistryMolecular Physics,ElectricalAtomicMedicineOptics
2017English

Multiscale Distribution Entropy and T-Distributed Stochastic Neighbor Embedding-Based Fault Diagnosis of Rolling Bearings

Entropy
Electronic EngineeringInformation SystemsMathematical PhysicsElectricalAstronomyPhysics
2018English

Deep Transfer Learning for Rolling Bearing Fault Diagnosis Under Variable Operating Conditions

Advances in Mechanical Engineering
Mechanical Engineering
2019English

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

SN Applied Sciences
2019English

Development and Trend of Condition Monitoring and Fault Diagnosis of Multi-Sensors Information Fusion for Rolling Bearings: A Review

International Journal of Advanced Manufacturing Technology
ControlSystems EngineeringIndustrialMechanical EngineeringManufacturing EngineeringComputer Science ApplicationsSoftware
2018English

Research on a Nonlinear Dynamic Incipient Fault Detection Method for Rolling Bearings

Applied Sciences (Switzerland)
InstrumentationMaterials ScienceFluid FlowEngineeringComputer Science ApplicationsProcess ChemistryTransfer ProcessesTechnology
2020English

A Fault Diagnosis Method for Rolling Bearings Based on Feature Fusion of Multifractal Detrended Fluctuation Analysis and Alpha Stable Distribution

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

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy