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基于二叉树支持向量机的装备故障诊断研究
引用本文:陈维,刘军尧,齐东科,赵瑞亮.基于二叉树支持向量机的装备故障诊断研究[J].航空电子技术,2010,41(2):19-23.
作者姓名:陈维  刘军尧  齐东科  赵瑞亮
作者单位:解放军某部,廊坊,065001
摘    要:本文提出了一种基于二叉树支持向量机的某型装备故障诊断方法,应用该方法构造了多故障分类器,并通过某型装备故障实例验证了该方法故障诊断结果的正确性,证明了该故障诊断方法具有良好的鲁棒性和推广性。

关 键 词:二叉树  支持向量机  统计学习理论  故障诊断  鲁棒性

Application of Fault Diagnosis for A Equipment Based on Binary Tree Support Vector Machines
CHEN Wei,LIU Jun-yao,QI Dong-ke,ZHAO Rui-liang.Application of Fault Diagnosis for A Equipment Based on Binary Tree Support Vector Machines[J].Avionics Technology,2010,41(2):19-23.
Authors:CHEN Wei  LIU Jun-yao  QI Dong-ke  ZHAO Rui-liang
Institution:( A certain unit of PLA, Langfang 065001, China)
Abstract:The article shows a method of fault diagnosis for an equipment based on binary tree support vector machine, which is applied to construct the multi-fault classifier. The diagnose example for the equipment fault is provided to verify the validity of the proposed method, which shows good robustness and popularization.
Keywords:binary tree: support vector machines: statistical learning theory: fault diagnosis: robusmess
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