Intelligent Diagnosis of Hydroelectric Power Station Alarm Based on Hybrid-Augmentation of Expert Knowledge and Large Language Model
Planning & Construction|更新时间:2026-01-27
|
Intelligent Diagnosis of Hydroelectric Power Station Alarm Based on Hybrid-Augmentation of Expert Knowledge and Large Language Model
“In the field of hydropower station monitoring, experts have designed an alarm event sample enhancement and fault diagnosis framework based on big language models, which improves diagnostic accuracy and efficiency, and ensures the safe operation of the power system.”
Electric Power ConstructionVol. 46, Issue 10, Pages: 44-57(2025)
作者机构:
1.河海大学电气与动力工程学院,南京市 211100
2.扬州大学环境科学与工程学院,江苏省扬州市 225000
作者简介:
基金信息:
the National Natural Science Foundation of China(U24B2088)
SUN Guoqiang,SHI Xueheng,LUO Zheqing,et al.Intelligent Diagnosis of Hydroelectric Power Station Alarm Based on Hybrid-Augmentation of Expert Knowledge and Large Language Model[J].Electric Power Construction,2025,46(10):44-57.
SUN Guoqiang,SHI Xueheng,LUO Zheqing,et al.Intelligent Diagnosis of Hydroelectric Power Station Alarm Based on Hybrid-Augmentation of Expert Knowledge and Large Language Model[J].Electric Power Construction,2025,46(10):44-57. DOI: 10.12204/j.issn.1000-7229.2025.10.005.
Intelligent Diagnosis of Hydroelectric Power Station Alarm Based on Hybrid-Augmentation of Expert Knowledge and Large Language Model