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面向装备RUL预测的平行仿真框架 被引量:3

Equipment RUL Prediction Oriented Parallel Simulation Framework
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摘要 由于装备状态具有复杂多变、不确定性强、信息量大的特点,造成根据装备状态研究具有自更新能力的剩余寿命预测模型成为当前的难点,仿真为解决剩余寿命预测问题提供了有效途径。基于平行系统理论,提出面向装备剩余寿命预测的平行仿真概念及技术框架,讨论了平行仿真的概念、特点、能力需求和功能组成,并重点介绍了面向装备剩余寿命预测平行仿真的主要建模技术,包括装备退化状态感知、装备退化状态空间模型构建、装备退化状态空间模型演化,为建立面向装备剩余寿命预测的平行仿真系统提供了借鉴。 As the equipment states are complicated with uncertainty, predicting remaining useful life with self-updating ability has become a hard task. Simulation provides an effective way to solve the problem. The concept and technology framework of equipment remaining useful life prediction oriented parallel simulation are proposed based on parallel system theory and the concept, characteristics, capacity demands and functional compositions of parallel simulation are introduced. The main modeling technologies of equipment remaining useful life prediction oriented parallel simulation are discussed, which include awareness of equipment degradation state, construction of equipment degradation state space model and evolution of equipment degradation state space model. It provides references for building equipment remaining useful life prediction oriented parallel simulation system.
作者 葛承垄 朱元昌 邸彦强 胡志伟 董志华 Ge Chenglongl;Zhu Yuanchang;Di Yanqiang;Hu Zhiwei;Dong Zhihua(Ordnance Engineering College, Shijiazhuang 050003, China;Baicheng Ordnance Test Center, Baicheng 137001, China)
出处 《系统仿真学报》 CAS CSCD 北大核心 2018年第6期2216-2224,共9页 Journal of System Simulation
基金 装备预研基金(9140A04020115JB34011)
关键词 平行仿真 模型演化 剩余寿命 状态感知 状态空间模型 数据同化 参数估计 parallel simulation model evolution remaining useful life state awareness state space model data assimilation parameter estimation
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