Fault Diagnosis of Roller Bearing Using Parameter Evaluation Technique and Multi-Class Support Vector Machine

doi 10.1063/1.4968334
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Author(s)

Related search

Bearing Fault Diagnosis via Kernel Matrix Construction Based Support Vector Machine

Journal of Vibroengineering
Materials ScienceMechanical Engineering
2017English

Fault Diagnosis of Wind Turbine Bearing Based on Stochastic Subspace Identification and Multi-Kernel Support Vector Machine

Journal of Modern Power Systems and Clean Energy
Renewable EnergyPower Technologythe EnvironmentSustainabilityEnergy Engineering
2018English

Bearing Fault Diagnosis Using Convolution Neural Network and Support Vector Regression

DEStech Transactions on Engineering and Technology Research
2017English

Time-Shift Multiscale Fuzzy Entropy and Laplacian Support Vector Machine Based Rolling Bearing Fault Diagnosis

Entropy
Electronic EngineeringInformation SystemsMathematical PhysicsElectricalAstronomyPhysics
2018English

Bearing Fault Diagnosis Using Support Vector Machine With Genetic Algorithms Based Optimization and K Fold Cross-Validation Method

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2019English

Intelligent Fault Diagnosis of Rotating Machinery Using Support Vector Machine and Improved ABC

2019English

Multi-Instance Image Classification for Cancer Diagnosis Using Statistical Mapping Support Vector Machine

International Journal of Engineering and Technology(UAE)
ArchitectureHardwareEngineeringChemical EngineeringBiotechnologyEnvironmental EngineeringComputer Science
2018English

Fault Diagnosis of Steam Turbine Generator Unit Based on Support Vector Machine

International Journal of Hybrid Information Technology
Computer Science
2013English

Support Vector Machine-Based Decision for Induction Motor Fault Diagnosis Using Air-Gap Torque Frequency

International Journal of Computer Applications
2012English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy