Applications of Support Vector Machines to Aeroengine Fault Diagnosis

WEI Xun-kai; LU Cheng; WANG Cheng; LU Jian-ming; LI Ying-hong

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Applications of Support Vector Machines to Aeroengine Fault Diagnosis

更新时间：2026-07-07

- Applications of Support Vector Machines to Aeroengine Fault Diagnosis
- Vol. 19, Issue 6, (2004)
- 作者机构：
  
  空军工程大学工程学院,陕西,西安,710038
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2004
- 稿件说明：
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WEI Xun-kai, LU Cheng, WANG Cheng, et al. Applications of Support Vector Machines to Aeroengine Fault Diagnosis[J]. 2004, 19(6).
DOI：

WEI Xun-kai, LU Cheng, WANG Cheng, et al. Applications of Support Vector Machines to Aeroengine Fault Diagnosis[J]. 2004, 19(6). DOI：

摘要

提出了一种基于支持向量机的航空发动机故障诊断方法。该方法在利用恰当的工具或方法提取到发动机故障的特征信息之后

采用支持向量机对特征信息与故障模式进行关联

实现故障模式的分类。该方法专门针对小样本集合设计

能够在小样本情况下获得较大的推广能力

将其应用于某型发动机的故障诊断中

取得了较好的效果。该方法尤其对于新型发动机的故障诊断具有一定的参考价值。

Abstract

An aeroengine fault diagnosis method based on support vector machines is presented.After extracting fault symptoms via proper equipments or methods

support vector machines were adopted to set up correlation between fault symptoms and fault patterns and to realize the classification of faults. Support vector machines are specially designed for good generalization ability under the condition that only small samples set is available.Applying this method to a certain engine

the diagnostic results are satisfactory

and it is referable to develop diagnostic system for newly-developed engines.

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