集成电路与嵌入式系统2024，Vol.24Issue(5)：94-100,7.
基于Transformer的DC/DC板级验证状态识别
DC/DC board-level verification status recognition based on Transformer
摘要
Abstract
To meet the high-precision and high-reliability requirements of aerospace products,and achieve self-reliance in components and chip localization,as well as application adaptability verification,it is necessary to design a domestic DC/DC board-level comprehensive tes-ting platform based on FPGA.In long-term thermal environmental adaptability board-level verification projects,to achieve real-time mo-nitoring of the working status of DC/DC device application boards,a smart recognition algorithm based on Transformer is proposed.The deep learning model is trained using these features.The experiment results show that for this 6-state dataset,the recognition accuracy of the Transformer model is 99.2％,which has good classification and monitoring performance and has certain engineering application value.关键词
FPGA/板级测试/状态识别/深度学习/Transformer模型Key words
FPGA/board-level testing/status recognition/deep learning/Transformer model分类
信息技术与安全科学引用本文复制引用
于海波,李杰,胡陈君,夏俊辉,张伟..基于Transformer的DC/DC板级验证状态识别[J].集成电路与嵌入式系统,2024,24(5):94-100,7.基金项目
高动态短航时弹用半捷联惯性测量系统误差自补偿理论与方法研究(61973280) （61973280）
弹载组合导航射后空中一体化对准理论与方法研究(2021030212241864). （2021030212241864）
