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基于二叉树支持向量机的某型装备故障诊断研究
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某型装备故障诊断研究[J]. 航空兵器, 2010, 0(2): 58-61
作者姓名:陈维  刘军尧  齐东科  赵瑞亮
作者单位:中国人民解放军93505部队,河北,廊坊,065001
摘    要: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 an Equipment Based on Binary Tree Support Vector Machine
CHEN Wei,LIU Jun-yao,QI Dong-ke,ZHAO Rui-liang. Application of Fault Diagnosis for an Equipment Based on Binary Tree Support Vector Machine[J]. Aero Weaponry, 2010, 0(2): 58-61
Authors:CHEN Wei  LIU Jun-yao  QI Dong-ke  ZHAO Rui-liang
Affiliation:(Unit 93505 of PLA, Langfang 065001, China)
Abstract:This paper proposes a method of fault diagnosis for an equipment based on binary tree support vector machine, which is employed to construct the muhi-fauh classifier. The fault diagnosis examples for an equipment are provided to verify the validity of this method. The results show the method have a good robustness and popularization.
Keywords:binary tree support vector machines  statistical learning theory  fault diagnosis  robustness
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