摘要
预测与健康管理(PHM)是未来先进航空发动机确保飞行安全、实现二级视情维修的关键使能技术。数据挖掘是PHM实现发动机健康状态评估、诊断以及剩余寿命预测的核心技术。本文首先从军事需求入手,简要分析了PHM技术的作用和意义,阐述了数据挖掘在PHM技术中发挥的重要作用,简要分析了国内外在航空发动机PHM中数据挖掘的差距。接着,详细分析了在航空发动机PHM技术中的关键数据挖掘问题,指出了数据挖掘问题的难点和技术挑战。最后,提出了集计算机、航空宇航两大学科之力推动发动机PHM技术成熟的建议。
Prognostics and health management is an enabled supporting key technology for ensuring flight safety and two-level condition-based maintenance.Data mining is the core implementation technology for engine health status assessment,diagnostics and remaining useful life prediction.First,the military needs and the significance of the PHM technology accompanying with the role of data mining in PHM are briefly reviewed.Then,the key data mining problems and challenges in gas turbine PHM are detailed.Finally,it is argued that the maturing of PHM should be under the collaboration of the computer subject and the aerospace subject.
出处
《计算机工程与科学》
CSCD
北大核心
2012年第4期88-93,共6页
Computer Engineering & Science
基金
总装维修预研项目(51327030101)
关键词
预测与健康管理
视情维修
数据挖掘
机遇与挑战
prognostics and health management
condition based maintenance
data mining
opportunities and challenges
