A Prediction Method for Aero-engine Health Management Based on Nonlinear Time Series Analysis | |
Qiang Huang![]() ![]() ![]() ![]() | |
2016 | |
会议名称 | 2016 IEEE International Conference on Prognostics and Health Management (PHM2016) |
会议日期 | June 20-22,2016 |
会议地点 | Carleton University Ottawa, ON, Canada |
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 aero-engine prediction methods, and then proposed a prediction method of nonlinear time series analysis using C-C method and BP-Adaboost 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. |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23820 |
专题 | 数字内容技术与服务研究中心_智能技术与系统工程 |
作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Qiang Huang,Haixia Su,Jian Wang,et al. A Prediction Method for Aero-engine Health Management Based on Nonlinear Time Series Analysis[C],2016. |
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07542816.pdf(327KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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