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。
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.
出处
《航空兵器》
2010年第2期58-61,共4页
Aero Weaponry
关键词
二叉树支持向量机
统计学习理论
故障诊断
鲁棒性
binary tree support vector machines
statistical learning theory
fault diagnosis
robustness
