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基于小波分形和一类辨识的航空发动机故障诊断
引用本文:罗俊,何立明,陈超.基于小波分形和一类辨识的航空发动机故障诊断[J].推进技术,2007,28(1):82-85.
作者姓名:罗俊  何立明  陈超
作者单位:西安空军工程大学,工程学院,陕西,西安,710038
摘    要:在支持向量机理论的基础上,针对支持向量机的二类辨识传统,引入了基于支持向量机的一类辨识理论。设计了航空发动机几种典型故障的一类分类器,使得发动机的故障诊断更加简单可行。同时,将小波分形方法引入到航空发动机振动信号的特征提取中。通过对航空发动机典型故障的成功诊断,证明了该方法的有效性。

关 键 词:航空发动机  一类辨识    支持向量机    小波分形    故障诊断
文章编号:1001-4055(2007)01-0082-04
收稿时间:2005-12-28
修稿时间:2006-04-12

Aeroengine fault diagnoisis based on one-class classification and wavlet-fractal
LUO Jun,HE Li-ming and CHEN Chao.Aeroengine fault diagnoisis based on one-class classification and wavlet-fractal[J].Journal of Propulsion Technology,2007,28(1):82-85.
Authors:LUO Jun  HE Li-ming and CHEN Chao
Abstract:Based on SVM(support vector machines) theory,one-class identification theory was introduced.Several classification models,which make the aeroengine fault diagnosis become more simple and viable,were designed based on one-class identification theory.In addition,wavlet-fractal was used to extract feature of aeroengine vibration data.Successful application has been achieved to detect several typical fault of aeroengine.The results show that the one class identification can provide a new effective technology to reveal fault of aeroengine.
Keywords:Aeroengine  One-class identification  SVM  Wavlet-fractal  Fault diagnosis
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