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基于一类辨识的航空发动机故障诊断
引用本文:范业蓬,罗俊,任民川.基于一类辨识的航空发动机故障诊断[J].燃气涡轮试验与研究,2006,19(2):30-32.
作者姓名:范业蓬  罗俊  任民川
作者单位:1. 西安空军工程大学,工程学院,陕西,西安,710038
2. 中国燃气涡轮研究院,四川,江油,621703
摘    要:在支持向量机理论的基础上,打破了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,以它为基础设计了基于一类辨识的一类分类器,并将它运用到航空发动机故障诊断中。通过对几种典型故障的分析,证明了该方法的有效性。

关 键 词:一类辨识  支持向量机  故障诊断  航空发动机
文章编号:1672-2620(2006)02-0030-03
收稿时间:12 7 2005 12:00AM
修稿时间:03 10 2006 12:00AM

Aero-engine Fault Diagnosis Based on One-class Classification of SVM
FAN Ye-peng,LUO Jun,REN Min-chuan.Aero-engine Fault Diagnosis Based on One-class Classification of SVM[J].Gas Turbine Experiment and Research,2006,19(2):30-32.
Authors:FAN Ye-peng  LUO Jun  REN Min-chuan
Abstract:Based on SVM theory, a new method named one-class identification was presented in this paper. And the new method broke two-class classification tradition of SVM. Successful application has been achieved to detect several typical fault of aero-engine. The results show that the one class classification can provide a new effective technology to reveal nonstationary fault of aero-engine.
Keywords:one-class identification  SVM  fault diagnosis  aero-engine
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