Artificial Self-Recovery Opens up a New Journey of Autonomous Health of Mechanical Equipments
作者机构：Beijing Key Laboratory of Health Monitoring and Self-recovery for High-end Mechanical EquipmentBeijing University of Chemical TechnologyBeijing 100029China Engineering Research Center of Chemical Safety Ministry of EducationBeijing University of Chemical TechnologyBeijing 100029China
出 版 物：《Engineering》 (工程（英文）)
年 卷 期：2024年第37卷第6期
页 面：22-26页
核心收录：
基 金：supported by Natural Science Foundation of Beijing(3212010) National Natural Science Foundation of China(51875031 and 52242507)
主 题：collective consuming Open
摘 要：*** With the implementation of modern production strategies,such as“Industry 4.0and“Made in China 2025,the development of high-end mechanical equipment is gradually reaching a high degree of parameterization,digitalization,networking,and intelligence[1].High-end mechanical equipment no longer consists of traditional single devices,but is closely linked to the overall production process;that is,a variety of devices interact with each other and collectively form a complex ***,faults can lead to production delays throughout the system and even seriously threaten the safety of workers[2].In addition,equipment operating in unmanned air or space vehicles(including space robots)cannot be repaired by humans if they break down[3].Until recently,the typical method of addressing machine faults was primarily the“fault curemethod,which involves manually shutting down,inspecting,and repairing the equipment to restore normal ***,the maintenance cycle of the traditional“fault curemethod is time-consuming,and the quality of the maintenance depends on the skills of the technician[4].
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