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

被引：0

作者：

Hao JiangWei ^{[1
]}

Lu Bin ^{[1
]}

机构：

[1] North China Elect Power Univ, Baoding 071003, Peoples R China

来源：

PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON ENGINEERING MANAGEMENT (ICONF-EM 2016) | 2016年 / 30卷

关键词：

Neural Network; Random Forest; Aircraft Engine Fault Diagnosis;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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.

引用

页码：141 / 146

页数：6

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