Research on equipment fault diagnosis model based on gan and inverse PINN: Solutions for data imbalance and rare faults.
In the field of medical imaging equipment, fault diagnosis plays a vital role in guaranteeing stable operation and prolonging service life. Traditional diagnostic approaches, though, are confronted with issues like intricate fault modes, as well as scarce and imbalanced data. This paper puts forward...
Saved in:
| Main Authors: | Jian Deng, Zheng Cheng, Aiming Gu, Shibohua Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0324180 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Wind Turbine Fault Identification in Sample Imbalance Scenarios Using FRBCS With GAN Oversampling and Metric Learning
by: Changsheng Kang, et al.
Published: (2025-01-01) -
Fault detection and diagnosis method for heterogeneous wireless network based on GAN
by: Xiaorong ZHU, et al.
Published: (2020-08-01) -
Fault detection and diagnosis method for heterogeneous wireless network based on GAN
by: Xiaorong ZHU, et al.
Published: (2020-08-01) -
Fault diagnosis method of timing signal based on Nadam-TimeGAN and XGBoost
by: HEI Xinhong, et al.
Published: (2024-04-01) -
Gearbox fault diagnosis method based on multi-sensor data fusion and GAN
by: YANG Xingyu, et al.
Published: (2025-06-01)