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

机译:基于SVM和DDAG的导航装置故障诊断方法。

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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.
机译:支持向量机是一种有前景的故障诊断方法。当使用决策有向无环图对其进行多分类扩展时,可以解决支持向量机多分类故障的诊断问题。本文认为,通过这种方法扩展的多分类支持向量机在一种导航装置中的应用实践中取得了良好的诊断效果。

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