Knowledge extraction and retrieval-augmented generation for intelligent maintenance of wind power equipment based on graph attention networks
- DOI
- 10.1016/j.cjme.2025.100141
- Published
- 2026-12
- Container
- Chinese Journal of Mechanical Engineering
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.cjme.2025.100141,
title = {Knowledge extraction and retrieval-augmented generation for intelligent maintenance of wind power equipment based on graph attention networks},
author = {Xueyi Li and Gang Li and Tianyang Wang and Zhilin Dong and Zhaoye Qin and Fulei Chu},
year = {2026},
journal = {Chinese Journal of Mechanical Engineering},
doi = {10.1016/j.cjme.2025.100141},
url = {https://doi.org/10.1016/j.cjme.2025.100141}
}RIS
TY - JOUR TI - Knowledge extraction and retrieval-augmented generation for intelligent maintenance of wind power equipment based on graph attention networks AU - Xueyi Li AU - Gang Li AU - Tianyang Wang AU - Zhilin Dong AU - Zhaoye Qin AU - Fulei Chu PY - 2026 JO - Chinese Journal of Mechanical Engineering DO - 10.1016/j.cjme.2025.100141 UR - https://doi.org/10.1016/j.cjme.2025.100141 ER -
APA
Li, X., Li, G., Wang, T., Dong, Z., Qin, Z., & Chu, F. (2026). Knowledge extraction and retrieval-augmented generation for intelligent maintenance of wind power equipment based on graph attention networks. Chinese Journal of Mechanical Engineering. https://doi.org/10.1016/j.cjme.2025.100141
Source records
- crossref · retrieved 2026-11-06T21:29:11.387Z