首页|期刊导航|铁道工程科学（英文）|Implementation of an AI-based predictive structural health monitoring strategy for bonded insulated rail joints using digital twins under varied bolt conditions
铁道工程科学（英文）2025，Vol.33Issue(4)：703-720,18.DOI:10.1007/s40534-024-00371-3
Implementation of an AI-based predictive structural health monitoring strategy for bonded insulated rail joints using digital twins under varied bolt conditions
Implementation of an AI-based predictive structural health monitoring strategy for bonded insulated rail joints using digital twins under varied bolt conditions
摘要
关键词
Predictive maintenance/Digital twin of bonded insulated rail joints/Finite element analysis/Artificial intelligence classifier/Machine learning data analysis/Structural health monitoring strategy/Railway track monitoringKey words
Predictive maintenance/Digital twin of bonded insulated rail joints/Finite element analysis/Artificial intelligence classifier/Machine learning data analysis/Structural health monitoring strategy/Railway track monitoring引用本文复制引用
G.Bianchi,F.Freddi,F.Giuliani,A.La Placa..Implementation of an AI-based predictive structural health monitoring strategy for bonded insulated rail joints using digital twins under varied bolt conditions[J].铁道工程科学（英文）,2025,33(4):703-720,18.基金项目
Costs of this research have been covered by the National Recovery and Resilience Plan(NRRP),Mission 4 Component 2 Investment 1.4—Call for tender No.3138 of 16/12/2021 of Italian Ministry of University and Research funded by the European Union—NextGenerationEU.Award Number:Project code CN00000023,Con-cession Decree No.1033 of 17/06/2022 adopted by the Italian Ministry of University and Research,CUP D93C22000400001,"Sustainable Mobility Center"(CNMS).Spoke 4—Rail Transportation. （NRRP）
