Brain-inspired memory architecture for condition monitoring based on hippocampal-neocortical complementary learningOA

作者：Yue Yu;Zeyun Yang;Xiaohui Zhang;Xinkang Li;Jianhui Yi;Deshui Han

作者单位：Artificial Intelligence Laboratory,CRRC Academy(Qingdao),Qingdao 266109,China||Shandong Key Laboratory of Rail Transit Digital and Intelligent Technology,Qingdao 266109,ChinaArtificial Intelligence Laboratory,CRRC Academy(Qingdao),Qingdao 266109,China||Shandong Key Laboratory of Rail Transit Digital and Intelligent Technology,Qingdao 266109,ChinaArtificial Intelligence Laboratory,CRRC Academy(Qingdao),Qingdao 266109,China||Shandong Key Laboratory of Rail Transit Digital and Intelligent Technology,Qingdao 266109,ChinaArtificial Intelligence Laboratory,CRRC Academy(Qingdao),Qingdao 266109,China||Shandong Key Laboratory of Rail Transit Digital and Intelligent Technology,Qingdao 266109,ChinaArtificial Intelligence Laboratory,CRRC Academy(Qingdao),Qingdao 266109,China||Shandong Key Laboratory of Rail Transit Digital and Intelligent Technology,Qingdao 266109,ChinaArtificial Intelligence Laboratory,CRRC Academy(Qingdao),Qingdao 266109,China||Shandong Key Laboratory of Rail Transit Digital and Intelligent Technology,Qingdao 266109,China

中文关键词：Continual learningComplementary learning systemsPrincipal component analysisCondition monitoring

英文关键词：Continual learningComplementary learning systemsPrincipal component analysisCondition monitoring

刊名：《高速铁路（英文）》 2026 (2)

页码/页数：89-98,10

基金：The authors gratefully acknowledge the financial support from the National Key Research and Development Program of China(Grant No.2022YFB4301300).This funding has been instrumental in facilitating the research infrastructure and experimental validation critical to the completion of this study.

DOI：10.1016/j.hspr.2025.11.001