Structure information preserving domain adaptation network for fault diagnosis of Sucker Rod Pumping systems
- DOI
- 10.1016/j.neunet.2025.107392
- Published
- 2025-08
- Container
- Neural Networks
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2025.107392,
title = {Structure information preserving domain adaptation network for fault diagnosis of Sucker Rod Pumping systems},
author = {Xiaohua Gu and Fei Lu and Liping Yang and Kan Wang and Lusi Li and Guang Yang and Yiling Sun},
year = {2025},
journal = {Neural Networks},
doi = {10.1016/j.neunet.2025.107392},
url = {https://doi.org/10.1016/j.neunet.2025.107392}
}RIS
TY - JOUR TI - Structure information preserving domain adaptation network for fault diagnosis of Sucker Rod Pumping systems AU - Xiaohua Gu AU - Fei Lu AU - Liping Yang AU - Kan Wang AU - Lusi Li AU - Guang Yang AU - Yiling Sun PY - 2025 JO - Neural Networks DO - 10.1016/j.neunet.2025.107392 UR - https://doi.org/10.1016/j.neunet.2025.107392 ER -
APA
Gu, X., Lu, F., Yang, L., Wang, K., Li, L., Yang, G., & Sun, Y. (2025). Structure information preserving domain adaptation network for fault diagnosis of Sucker Rod Pumping systems. Neural Networks. https://doi.org/10.1016/j.neunet.2025.107392
Source records
- crossref · retrieved 2026-11-10T14:11:09.107Z