A prediction method for aero-engine health management based on nonlinear time series analysis

Qiang Huang, Haixia Su, Jian Wang, Weixing Huang, Guigang Zhang, Jiayang Huang
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引用次数: 5

Abstract

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.
基于非线性时间序列分析的航空发动机健康管理预测方法
航空发动机是飞机的心脏。航空发动机在飞行过程中发生故障,将直接威胁到飞机的飞行安全,因此航空发动机健康管理应运而生,而发动机健康预测是航空发动机健康管理的重要组成部分。本文主要研究健康管理的预测方法。首先介绍了航空发动机预测方法的研究现状,然后提出了一种基于C-C方法和BP-Adaboost算法的非线性时间序列预测方法,最后通过仿真算例验证了该方法的有效性。实验结果表明,该方法具有预测精度高的优点,可以在一定程度上为维修计划提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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