Remaining Useful Life Prognostic Estimation for Aircraft Subsystems or Components: A Review
The techniques of remaining useful life (RUL) estimation are playing a more and more important role in aircraft safety and condition based maintenance. This paper gives an overview of RUL prognostic estimation approaches applied to aircraft subsystems or components. Existing RUL estimation approaches are categorized into three types, namely model-based approaches, data-driven approaches and fusion approaches and their characteristics are comprehensively introduced. Moreover, three common and promising methods: particle filtering, neural network and relevant vector machine as well as their advantages and disadvantages are discussed in details. Finally, the future challenges concerned with RUL prediction are also presented.
remaining useful life prognostic estimation aircraft component fusion approach
Chen Xiongzi Yu Jinsong Tang Diyin Wang Yingxun
School of Automation Science and Electrical Engineering,Beihang University,Beijing100191,China
国际会议
2011 10th International Conference on Electronic Measurement & Instruments(第十届电子测量与仪器国际会议 ICEMI2011)
成都
英文
443-447
2011-08-16(万方平台首次上网日期,不代表论文的发表时间)