State-of-the-Art and Prospect of Aircraft Engine Fault Diagnosis Using Gas Path Parameters

HAO Ying; SUN Jian-guo; BAI Jie

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State-of-the-Art and Prospect of Aircraft Engine Fault Diagnosis Using Gas Path Parameters

更新时间：2026-07-07

- State-of-the-Art and Prospect of Aircraft Engine Fault Diagnosis Using Gas Path Parameters
- Vol. 18, Issue 6, (2003)
- 作者机构：
  
  1. 南京航空航天大学能源与动力学院,江苏,南京,210016
  2. 中国民用航空学院机电学院,天津,300300
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2003
- 稿件说明：
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HAO Ying, SUN Jian-guo, BAI Jie. State-of-the-Art and Prospect of Aircraft Engine Fault Diagnosis Using Gas Path Parameters[J]. 2003, 18(6).
DOI：

HAO Ying, SUN Jian-guo, BAI Jie. State-of-the-Art and Prospect of Aircraft Engine Fault Diagnosis Using Gas Path Parameters[J]. 2003, 18(6). DOI：

摘要

燃气涡轮发动机在航空、地面和舰船上有着广泛的应用

对其进行性能评估和故障诊断有着重大的现实意义。本文对发动机气路诊断的发展以及当前的主要气路诊断方法如故障方程法

基于非线性模型的诊断方法

基于人工智能等方法进行了综述

最后对航空发动机气路诊断的发展进行了展望。

Abstract

Gas turbine engines are widely used in the fields of air

ground and ship

so it is much of importance to assess engine performance and diagnose its faults.This paper surveys the development of engine fault diagnosis and the main diagnosing methods including gas path analysis

non-linear mode methods and artificial intelligence methods.Finally

the prospect of studying engine fault diagnosis is presented.

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Related Author

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TANG Hao

QIU Xiao-jie

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CHEN Guo

Related Institution

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

College of Civil Aviation, Nanjing University of Aeronautics and Astronautics

Aviation Motor Control System Institute, China Aviation Industry CorporationⅠ

College of Software, Beijing University of Aeronautics and Astronautics

College of Energy and power, Nanjing University of Aeronautics and Astronautics

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