Application of Fuzzy Self-Organizing Neural Network to Aeroengine Fault Diagnosis

JIANG Dong-xiang; WANNG Feng-yu; ZHOU Ming; NI Wei-dou

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Application of Fuzzy Self-Organizing Neural Network to Aeroengine Fault Diagnosis

更新时间：2026-07-07

- Application of Fuzzy Self-Organizing Neural Network to Aeroengine Fault Diagnosis
- Vol. 16, Issue 1, (2001)
- 作者机构：
  
  清华大学热能工程系,北京,100084
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2001
- 稿件说明：
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JIANG Dong-xiang, WANNG Feng-yu, ZHOU Ming, et al. Application of Fuzzy Self-Organizing Neural Network to Aeroengine Fault Diagnosis[J]. 2001, 16(1).
DOI：

JIANG Dong-xiang, WANNG Feng-yu, ZHOU Ming, et al. Application of Fuzzy Self-Organizing Neural Network to Aeroengine Fault Diagnosis[J]. 2001, 16(1). DOI：

摘要

介绍了模糊自组织神经网络在航空发动机故障诊断中的应用方法

并通过实例验证了该方法在发动机故障分类中的实用性。该方法具有结构算法简单、无监督自学习和侧向联想等功能。它有很好的应用前景

可以广泛应用于发动机的故障诊断。

Abstract

A new diagnostic method has been developed

which applies the fuzzy self-organizing neural network to aeroengine fault diagnosis.In this method

the relationships between the fault causation and fault symptoms are established aecording to the fuzzy mathematics.Then the mapped 2-dimension pictures of the sample fault set and actual fault are obtained by a self-organizing neural network.At last

the reasonable conclusions are drown from the comparison between them.The case study of an engine has verified the practicability of this method.The proposed method features a simple structural algorithm

supervision free self-study and lateral association

etc.

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

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