A Systematic Review on Imbalanced Learning Methods in Intelligent Fault Diagnosis
Author:
Affiliation:
1. Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi'an Jiaotong University, Xi'an, China
2. School of Engineering, The University of British Columbia—Okanagan Campus, Kelowna, Canada
Funder
National Key Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/10012124/10049129.pdf?arnumber=10049129
Reference346 articles.
1. An Under-Sampling Method of Unbalanced Data Classification Based on Support Vector
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4. Pre-processing of imbalanced samples and the effective contribution in fault diagnosis in wastewater treatment plants
5. K-means Bayes algorithm for imbalanced fault classification and big data application
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