中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Prediction Method for Aero-engine Health Management Based on Nonlinear Time Series Analysis

文献类型:会议论文

作者Huang, Qiang1; Su, Haixia1; Wang, Jian1; Huang, Weixing1; Zhuang, Guigang1; Huang, Jiayang2
出版日期2016
会议日期20 - 22 June 2016
会议地点Ottawa, Canada
关键词Aero-engine Prediction C-c Method Bp-adaboost
DOI10.1109/ICPHM.2016.7542816
英文摘要Aero-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.
会议录Prognostics and Health Management (ICPHM), 2016 IEEE International Conference on
语种英语
源URL[http://ir.ia.ac.cn/handle/173211/13020]  
专题数字内容技术与服务研究中心_智能技术与系统工程
通讯作者Wang, Jian
作者单位1.Institute of Automation, Chinese Academy of Science
2.Shanghai Engineering Research Center of Civil Aircraft
推荐引用方式
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]. 见:. Ottawa, Canada. 20 - 22 June 2016.

入库方式: OAI收割

来源:自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。