大数据驱动的装备健康管理研究  

Research on Equipment Health Management Based on Big Data

作　　者：鞠建波[1] 胡胜林[1] 单志超[1] 祝超[1] 

机构地区：[1]海军航空工程学院,山东烟台264001

出　　处：《兵器装备工程学报》2017年第6期73-75,共3页Journal of Ordnance Equipment Engineering

基　　金：国家自然科学基金资助项目(60874112);军队科研专项资助项目(41512322)

摘　　要：介绍了基于大数据支持的装备健康管理研究的方法。通过建立隶属度函数和设立预警值,对装备进行状态监测;采集装备的数据信息,利用大数据处理技术,实现装备的故障预测;基于预测结果,对装备进行健康评估,提出保障决策,实现装备的维护保障。This paper introduced the research method of equipment health management based on large data. Through the establishment of membership function and the early warning value,we can achieve the state monitoring for the equipment; then we collect the equipment data by means of using large data processing technology to achieve equipment failure prediction; At last,based on the forecast results,we put forward the protection decision according to the health assessment of equipment to realize the equipment maintenance.

关 键 词：故障预测 健康管理 大数据技术 状态监测 健康评估 保障决策 

分 类 号：N945[自然科学总论—系统科学]