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。
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.
出处
《航空电子技术》
2010年第2期19-23,共5页
Avionics Technology
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: robusmess