Data fusion generative adversarial network for multi-class imbalanced fault diagnosis of rotating machinery
For the fault diagnosis problems of rotating machinery in the real industrial practice,
measurement data with imbalanced class distributions negatively affect the diagnostic …
measurement data with imbalanced class distributions negatively affect the diagnostic …
[PDF][PDF] Data Fusion Generative Adversarial Network for Multi-Class Imbalanced Fault Diagnosis of Rotating Machinery
Q LIU, G MA, C CHENG - scholar.archive.org
For the fault diagnosis problems of rotating machinery in the real industrial practice,
measurement data with imbalanced class distributions negatively affect the diagnostic …
measurement data with imbalanced class distributions negatively affect the diagnostic …
[引用][C] Data Fusion Generative Adversarial Network for Multi-Class Imbalanced Fault Diagnosis of Rotating Machinery
Q Liu, G Ma, C Cheng - IEEE Access, 2020 - ui.adsabs.harvard.edu
Data Fusion Generative Adversarial Network for Multi-Class Imbalanced Fault Diagnosis of
Rotating Machinery - NASA/ADS Now on home page ads icon ads Enable full ADS view …
Rotating Machinery - NASA/ADS Now on home page ads icon ads Enable full ADS view …