Research on Fault Diagnosis Method of Aircraft Engine on Basis of Data Classification Prediction

DOI

10.2991/iconfem-16.2016.24How to use a DOI?

Keywords

Neural Network;Random Forest; Aircraft Engine Fault Diagnosis

Abstract

.In this article, we introduced the classification and prediction algorithm of data mining into aircraft engine fault diagnosis, then analysis and compare the Random Forest algorithm and Neural Network algorithm.The simulation of these algorithms and experimental results show that the two methods have their own advantages and disadvantages. Combining both of them into system that fault types and potential problems of engines can be found more accurately.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jiangwei Hao
AU  - Bin Lu
PY  - 2017/01
DA  - 2017/01
TI  - Research on Fault Diagnosis Method of Aircraft Engine on Basis of Data Classification Prediction
BT  - Proceedings of the 2016 International Conference on Engineering Management (Iconf-EM 2016)
PB  - Atlantis Press
SN  - 2352-5428
UR  - https://doi.org/10.2991/iconfem-16.2016.24
DO  - 10.2991/iconfem-16.2016.24
ID  - Hao2017/01
ER  -