The Estimation of Aeroengine Expectant Cycle Based on Genetic Algorithm and BP Neural Network

SONG Jin guang; XU Chun sheng

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The Estimation of Aeroengine Expectant Cycle Based on Genetic Algorithm and BP Neural Network

更新时间：2026-07-07

- The Estimation of Aeroengine Expectant Cycle Based on Genetic Algorithm and BP Neural Network
- Vol. 18, Issue 5, (2003)
- 作者机构：
  
  中国民用航空学院,天津,300300
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2003
- 稿件说明：
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SONG Jin guang, XU Chun sheng. The Estimation of Aeroengine Expectant Cycle Based on Genetic Algorithm and BP Neural Network[J]. 2003, 18(5).
DOI：

SONG Jin guang, XU Chun sheng. The Estimation of Aeroengine Expectant Cycle Based on Genetic Algorithm and BP Neural Network[J]. 2003, 18(5). DOI：

摘要

通过使用真实样本实验的方法

在BP神经网络、GA遗传算法与改进的GA-BP复合算法中

找出能迅速精确地预测航空发动机拆换期望值的最佳方法。试验结果证明

GA-BP复合算法在用遗传算法对神经网络的权值进行大致搜索以后

再用神经网络方法进行训练

能很好地模拟发动机拆换期望值

并用实例证明该算法是有效的。

Abstract

The algorithm described in the paper is one of the important instruments for the establishment of aero engine expectant cycle to supervise aero engine scientifically and effectively.By means of experimental method of using real specimens

the optinal algorithm which can estimate aero engine expectant cycle quickly and precisely among BP neural network

GA (genetic algorithm) and compound GA BP can be found.It shows that GA BP algorithm can simulate expectant cycle excellently.First it searches weights of neural network grossly using genetic algorithm

then is trained by using BP network.It has been proved to be effective by real instances.Two softwares have been made.

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Related Institution

College of Energy & Power Engineering, Nanjing University of Aeronautics and Astronautics

College of Energy &amp Power EngineeringNanjing University of Aeronautics and Astronautics

南京航空航天大学民航学院

中国航空发动机集团有限公司商用航空发动机有限责任公司

Jiangsu Province Key Laboratory of Aerospace Power System, College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics

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