AN ARTIFICIAL NEURAL NETWORK APPLIED TO AIRCRAFT GAS TURBINE DIAGNOSIS

Chen Daguang; liu fusheng

Chinese

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AN ARTIFICIAL NEURAL NETWORK APPLIED TO AIRCRAFT GAS TURBINE DIAGNOSIS

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- AN ARTIFICIAL NEURAL NETWORK APPLIED TO AIRCRAFT GAS TURBINE DIAGNOSIS
- Vol. 9, Issue 4, (1994)
- 作者机构：
  
  北京航空航天大学
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：1994
- 稿件说明：
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Chen Daguang, liu fusheng. AN ARTIFICIAL NEURAL NETWORK APPLIED TO AIRCRAFT GAS TURBINE DIAGNOSIS[J]. 1994, 9(4).
DOI：

Chen Daguang, liu fusheng. AN ARTIFICIAL NEURAL NETWORK APPLIED TO AIRCRAFT GAS TURBINE DIAGNOSIS[J]. 1994, 9(4). DOI：

摘要

介绍了人工神经网络专家系统在航空涡轮风扇发动机故障诊断上的应用。通过一个高涵道比涡扇发动机故障诊断的实例分析

验证了三层逆传播网络的可行性。非常令人鼓舞的诊断结果证明：神经网络的模糊联想特点、分布存储和并行处理能力以及对随机误差的抑制作用

使其成为一个有效的和快速的方法。它有很好的应用前景

并可广泛用于航空发动机的故障诊断。

Abstract

An artificial neural network based expert system has been developed and is applied to aircraft turbofan engine fault diagnosis.The case study of a high bypass ratio turbofan engine has verified the feasibility of a three-layer back propagation network.The very encouraging diagnostic results prove that the fuzzy association feature

the distributed memorizing and parallel processing ability

and the random error depressing capability make it an effective and quick method which has a very bright perspective and can be used extensively for aircraft engine diagnosis.

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Related Institution

Nanjing University of Aeronautics and Astronautics

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nd Dept.NanJing University of Aeronautics and Astronautics

nd Dept.Nanjing University of Aeronautics and Astronautics

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