首页|期刊导航|Journal of Automation and Intelligence|Densely-connected Decoder Transformer for unsupervised anomaly detection of power electronic systems
Journal of Automation and Intelligence2025，Vol.4Issue(3)：P.217-226,10.DOI:10.1016/j.jai.2025.05.002
Densely-connected Decoder Transformer for unsupervised anomaly detection of power electronic systems
摘要
关键词
Power electronic systems/Anomaly detection/Transformer network/Dense connection/Unsupervised learning/DDformer分类
信息技术与安全科学引用本文复制引用
Zhichen Zhang,Gen Qiu,Yuhua Cheng,Min Wang..Densely-connected Decoder Transformer for unsupervised anomaly detection of power electronic systems[J].Journal of Automation and Intelligence,2025,4(3):P.217-226,10.基金项目
supported in part by the National Natural Science Foundation of China under Grant 62303090,U2330206 （）
in part by the Postdoctoral Science Foundation of China under Grant 2023M740516 （）
in part by the Natural Science Foundation of Sichuan Province under Grant 2024NSFSC1480 （）
in part by the New Cornerstone Science Foundation through the XPLORER PRIZE. （）
