Rotating Machinery Fault Diagnosis for Imbalanced Data Based on Fast Clustering Algorithm and Support Vector Machine

Journal of Sensors- Egypt

doi 10.1155/2017/8092691

Full Text

Abstract

Available in

Date

Authors

Publisher

Hindawi Limited

Related search

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

2019English

Transformer Fault Diagnosis Based on Artificial Bee Colony Algorithm and Support Vector Machine

DEStech Transactions on Engineering and Technology Research
2018English

Concurrent Fault Diagnosis for Rotating Machinery Based on Vibration Sensors

International Journal of Distributed Sensor Networks
Computer NetworksEngineeringCommunications
2013English

Clustering-Based Undersampling With Random Over Sampling Examples and Support Vector Machine for Imbalanced Classification of Breast Cancer Diagnosis

Computer Assisted Surgery
SurgeryComputer Science ApplicationsFamily Practice
2019English

Knowledge Modeling of Fault Diagnosis for Rotating Machinery Based on Ontology

2015English

The Combination of a Histogram-Based Clustering Algorithm and Support Vector Machine for the Diagnosis of Osteoporosis

Imaging Science in Dentistry
Nuclear MedicineRadiologyUltrasound TechnologyRadiologicalImagingDentistry
2013English

A Fault Diagnosis Approach for Gas Turbine Exhaust Gas Temperature Based on Fuzzy C-Means Clustering and Support Vector Machine

Mathematical Problems in Engineering
MathematicsEngineering
2015English

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

International Journal of Hybrid Information Technology
Computer Science
2013English

Rotating Machinery Vibration Signal Processing and Fault Diagnosis Based on LMD

MATEC Web of Conferences
Materials ScienceEngineeringChemistry
2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy