Research on Aeroengine Lubricant System Fault Diagnosis Based on Wavelet Neural Network

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Research on Aeroengine Lubricant System Fault Diagnosis Based on Wavelet Neural Network

更新时间：2025-10-30

- Research on Aeroengine Lubricant System Fault Diagnosis Based on Wavelet Neural Network
- Aeronautical Manufacturing Technology Vol. 52, Issue 6, Pages: 85-89(2009)
- 作者机构：
  
  空军工程大学工程学院
- 作者简介：
- 基金信息：
- DOI：
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- Published：2009
- 稿件说明：
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张蓉,谢武杰. 基于小波神经网络航空发动机滑油系统故障诊断方法研究[J]. 航空制造技术, 2009, 52(6): 85-89.

Research on Aeroengine Lubricant System Fault Diagnosis Based on Wavelet Neural Network[J]. Aeronautical Manufacturing Technology, 2009, 52(6): 85-89.
张蓉,谢武杰. 基于小波神经网络航空发动机滑油系统故障诊断方法研究[J]. 航空制造技术, 2009, 52(6): 85-89. DOI：

Research on Aeroengine Lubricant System Fault Diagnosis Based on Wavelet Neural Network[J]. Aeronautical Manufacturing Technology, 2009, 52(6): 85-89. DOI：

摘要

研究了基于小波神经网络的非线性系统的故障检测和诊断方法。把小波分析与前馈神经网络相融合，并推导出其具体的算法。应用小波神经网络对航空发动机滑油系统进行故障诊断。试验和仿真的结果表明：小波网络应用予故障诊断时具有收敛速度快，对网络输入不敏感等特点，为非线性系统的故障诊断提供了新的理论和方法。

Abstract

Fault detection and diagnosis methods for non—linear system based on wavelet neural networks are researched．Wavelet analysis and feed-forward neural networks are fused，and the algorithm is inferred．Method of wavelet neural networks is used in fault diagnosis for the lubricant system of the oA!roen-sine．Results of simulation and tests show that this method，which is good to fault diagnosis for non-linear systems，does better in convergence speed，and is not sensitive to the inputs of the network．

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