A Fault Diagnosis Method based on SVM and DDAG for A Navigation Device

摘要：

Support vector machine is a kind of promising ways for fault diagnosis. When it is expanded with multiclassification by using the decision directed acyclic graph, the problem of diagnosing the multiclassification fault of SVM can be solved. This article argues that SVM of multi-classification expanding by this method achieves a good diagnosing effect in the practice of applying in a type of navigation device.

关键词： Support vector machine Fault diagnosis Decision directed acyclic graph

作者: Shaofeng Mou Liling Ma Junzheng Wang Jingyuan Yin

作者单位: School of Automation Beijing Institute of Technology Beijing, China BObranchbox Beijing No.132 mailbox Beijing, China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 422-425

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）