中北大学学报（自然科学版）2024，Vol.45Issue(1)：前插1,1-11,12.DOI:10.3969/j.issn.1673-3193.2024.01.001
数据驱动的闭环控制系统剩余寿命预测方法综述
A Review of Data-Driven Remaining Useful Life Prediction Methods for Closed-Loop Control System
摘要
Abstract
Data-driven remaining useful life(RUL)prognostics technique has been the research frontier of reliability and automation,with the rapid development of advanced sensing and monitoring technology.It has been widely applied in system maintenance decision-making,which improves system operation safety,reliability and economy.The most reviews about data-driven RUL prediction methods mainly focus on component-level RUL prediction,but do not pay attention to the RUL prediction technology for closed-loop control system.The influence of controller and feedback control on system degradation and RUL pre-diction need to be considered when the data-driven method is explored to predict the RUL of closed-loop control system,which is different from component-level RUL prediction.Therefore,the development trend of data-driven RUL prediction methods for closed-loop control system and life extending control(LEC)methods is reviewed based on the predictive information.Meanwhile,the principles,characteris-tics and limitations are dissected about the methods based on Poisson process,Gamma process,Wiener process and hybrid model,respectively.Finally,the future research directions are discussed such as charac-terization of health status and construction of comprehensive health indicator,system RUL prediction with multi-degraded components,theory and verification application of LEC based on predictive information.关键词
剩余寿命预测/闭环控制系统/数据驱动/退化过程/延寿控制Key words
remaining useful life(RUL)prediction/closed-loop control system/data-driven/degradation process/life extending control分类
航空航天引用本文复制引用
冯磊,张正新,李天梅,张建勋,司小胜..数据驱动的闭环控制系统剩余寿命预测方法综述[J].中北大学学报（自然科学版）,2024,45(1):前插1,1-11,12.基金项目
国家自然科学基金资助项目(62233017) （62233017）
