Review of imbalanced fault diagnosis technology based on generative adversarial networks
H Chen, J Wei, H Huang, Y Yuan… - … of Computational Design …, 2024 - academic.oup.com
In the field of industrial production, machine failures not only negatively affect productivity
and product quality, but also lead to safety accidents, so it is crucial to accurately diagnose …
and product quality, but also lead to safety accidents, so it is crucial to accurately diagnose …
Long-tailed multi-domain generalization for fault diagnosis of rotating machinery under variable operating conditions
C Jian, G Mo, Y Peng, Y Ao - Structural Health Monitoring, 2024 - journals.sagepub.com
As the operating conditions (also known as domains) of rotating machinery become
increasingly diverse, fault diagnosis has garnered growing attention. However, fault …
increasingly diverse, fault diagnosis has garnered growing attention. However, fault …
Unsupervised GAN with Fine-Tuning: A Novel Framework for Induction Motor Fault Diagnosis in Scarcely Labeled Sample Scenarios
Induction motor serves as the indispensable component of industrial equipment, where the
failure of the key part can lead to significant losses, and its intelligent fault diagnosis (IFD) …
failure of the key part can lead to significant losses, and its intelligent fault diagnosis (IFD) …