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

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 predicti...

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Bibliographic Details
Published in2016 IEEE International Conference on Prognostics and Health Management (ICPHM) pp. 1 - 8
Main Authors Qiang Huang, Haixia Su, Jian Wang, Weixing Huang, Guigang Zhang, Jiayang Huang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2016
Subjects
Aero-engine
Aircraft
BP-Adaboost algorithm
C-C method
Delay effects
Engines
Prediction
Prediction algorithms
Predictive models
Time series analysis
Training
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Summary: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.
DOI:10.1109/ICPHM.2016.7542816