K-Means clustering GAN based Fault Diagnosis Approach for Imbalanced Dataset
K-Means clustering GAN based Fault Diagnosis Approach for Imbalanced Dataset
Huifang Li,Rui Fan,Qisong Shi,Zijian Du
2020
0 Citations
TLDR
A K-Means clustering GAN (KM-GAN) based fault diagnosis approach which can reduce the imbalance of fault data and improve the diagnostic accuracy for minority classes and the experimental results show that the method can improve the diagnose accuracy of minority samples.