摘要
针对航空发动机的故障特点、现有数据条件以及健康管理的需求,对国内外故障预测与健康管理(prognostics and health management,PHM)进行研究分析。通过涵盖状态监测分析、亚健康状态诊断、性能衰退趋势跟踪和分析、故障预测与寿命管理等,以实现对发动机的预测性诊断和相应维护支持,从而提升飞行任务过程中的安全性和计划执行的可靠性。结果表明,该分析可为持续进行航空发动机健康管理研究奠定基础,为真正意义的视情维修提供技术支撑。
According to the fault characteristics of aero-engine,the existing data conditions and the requirements of health management,the fault prediction and health management(PHM)at home and abroad are studied and analyzed.By covering condition monitoring and analysis,sub-health state diagnosis,performance decline trend tracking and analysis,fault prediction and life management,the predictive diagnosis and corresponding maintenance support of the engine are realized,so as to improve the safety of the flight mission and the reliability of the plan execution.The results show that the analysis can lay the foundation for continuous aero-engine health management research and provide technical support for the real meaning of condition-based maintenance.
作者
李思雨
程中华
岳光
李雪
闫云斌
韩凯
郭鹏
黄振亮
范佳慧
赵鹏
Li Siyu;Cheng Zhonghua;Yue Guang;Li Xue;Yan Yunbin;Han Kai;Guo Peng;Huang Zhenliang;Fan Jiahui;Zhao Peng(Shijiazhuang Campus of Army Engineering University,Shijiazhuang 050003,China;Shanxi Military Region,Taiyuan 030013,China;Department of Automation,Taiyuan Institute of Teohnology,Taiyuan 030008,China;No.55 Middle School of Tianjing,Tianjing 300000;Shanxi Armed Police Corps,Taiyuan 030012,China)
出处
《兵工自动化》
北大核心
2025年第9期6-12,27,共8页
Ordnance Industry Automation
关键词
数字孪生
航空发动机
装备维修
故障预测与健康管理
视情维修
digital twin
aero-engine
equipment maintenance
prognostics and health management
condition-based maintenance
