Research on Fault Diagnosis Method of Aircraft Engine on Basis of Data Classification Prediction
- Jiangwei Hao, Bin Lu
- Corresponding Author
- Jiangwei Hao
Available Online January 2017.
- https://doi.org/10.2991/iconfem-16.2016.24How to use a DOI?
- Neural Network;Random Forest; Aircraft Engine Fault Diagnosis
- .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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/iconfem-16.2016.24 ID - Hao2017/01 ER -