CASIA OpenIR  > 数字内容技术与服务研究中心  > 智能技术与系统工程
A Prediction Method for Aero-engine Health Management Based on Nonlinear Time Series Analysis
Huang, Qiang1; Su, Haixia1; Wang, Jian1; Huang, Weixing1; Zhuang, Guigang1; Huang, Jiayang2
2016
Conference Name2017 IEEE International Conference on
Source PublicationPrognostics and Health Management (ICPHM), 2016 IEEE International Conference on
Conference Date20 - 22 June 2016
Conference PlaceOttawa, Canada
AbstractAero-engine is the heart of the aircraft. If a failure of
aero-engine occurs during the flight, it will be a direct threat to
flight safety of the aircraft, so the aero-engine health management
came into being, and the prediction is a very important part of it.
This paper was focused on the prediction methods of health
management. Firstly, we introduced the research status of the aeroengine
prediction methods, and then proposed a prediction method
of nonlinear time series analysis using C-C method and BPAdaboost
algorithm, at last, a simulation example was given to
illustrate the validity of the method. Experimental results indicated
that the method has the advantage of high prediction precision, and
to some extent, it can provide a reference for the maintenance plan.
KeywordAero-engine Prediction C-c Method Bp-adaboost
DOI10.1109/ICPHM.2016.7542816
Indexed ByEI
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13020
Collection数字内容技术与服务研究中心_智能技术与系统工程
Corresponding AuthorWang, Jian
Affiliation1.Institute of Automation, Chinese Academy of Science
2.Shanghai Engineering Research Center of Civil Aircraft
Recommended Citation
GB/T 7714
Huang, Qiang,Su, Haixia,Wang, Jian,et al. A Prediction Method for Aero-engine Health Management Based on Nonlinear Time Series Analysis[C],2016.
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