A digital twin-enhanced collaborative maintenance paradigm for aero-engine fleet  

作　　者：Jiawei REN Ying CHENG Yingfeng ZHANG Fei TAO 

机构地区：[1]School of Automation Science and Electrical Engineering,Beihang University,Beijing 100083,China [2]School of Mechanical Engineering,Northwestern Polytechnical University,Xi’an 710072,China [3]Digital Twin International Research Center,International Research Institute for Multidisciplinary Sciences,Beihang University,Beijing 100083,China

出　　处：《Frontiers of Engineering Management》2024年第2期356-361,共6页工程管理前沿（英文版）

基　　金：sponsored by the National Natural Science Foundation of China(Grant Nos.52275471 and 52175448);Beijing Nova Program No.20220484015;the New Cornerstone Science Foundation through the XPLORERPRIZE.

摘　　要：Maintenance of aero-engine fleets is crucial for the efficiency,safety,and reliability of the aviation industry.With the increasing demand for air transportation,maintaining high-performing aero-engines has become significant.Collaborative maintenance,specifically targeting aero-engine fleets,involves the coordination of multiple tasks and resources to enhance management efficiency and reduce costs.Digital Twin(DT)technology provides essential technical support for the intelligent operation and maintenance of aero-engine fleets.DT maps physical object properties to the virtual world,creating high-fidelity,dynamic models.However,DT-enhanced collaborative maintenance faces various challenges,including the construction of complex system-layer DT models,management of massive integrated DT data,and the development of fusion mechanisms and decision-making methods for DT data and models.Overcoming these challenges will allow the aviation industry to optimize aero-engine fleet maintenance,ensuring safety,efficiency,and cost-effectiveness while meeting the growing demand for air transportation.

关 键 词：aero-engine fleet collaborative maintenance Digital Twin(DT) complex system 

分 类 号：F425[经济管理—产业经济] F274F49