Equipment Fault Diagnosis Method Based on High-efficient Communication Federated Learning
Federated learning achieves joint training modeling of fault data from various factories while protecting privacy. However, due to the high heterogeneity of factory equipment operation data, traditional federated learning has low communication efficiency. To address the above issues, an equipment fa...
Saved in:
| Main Authors: | LIU Jing, ZHAO Yichen, LIU Xinghua, WU Youxi, JI Haipeng |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Harbin University of Science and Technology Publications
2025-04-01
|
| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2410 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Federated Adversarial Fault Diagnosis Method Driven by Fault Information Discrepancy
by: Jiechen Sun, et al.
Published: (2024-08-01) -
Intelligent diagnosis of gearbox in data heterogeneous environments based on federated supervised contrastive learning framework
by: Ruoyang Bai, et al.
Published: (2025-04-01) -
Heterogeneity Challenges of Federated Learning for Future Wireless Communication Networks
by: Lorena Isabel Barona López, et al.
Published: (2025-04-01) -
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)