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Fault Diagnosis of Aircraft Power Starting System Based on MTBF-SVM

机译:基于MTBF-SVM的飞机动力启动系统故障诊断

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In order to solve the fault diagnosis of aircraft power starting system, the fault diagnosis method through constructing binary tree SVM (support vector machines) is researched in this paper. Consider that the components which have high fault rate have priority to be isolated, the method trains the classifier depend on MTBF from small to big and uses the basic structure of binary tree-SVM to generate the leaf nodes gradually, each leaf node represents a fault mode. The method is applied to the identify the common nine fault mode of aircraft power starting system.
机译:为了解决飞机电力启动系统的故障诊断,本文研究了通过构建二叉树SVM(支持向量机)的故障诊断方法。 考虑到具有高故障率的组件优先孤立,该方法列举了分类器依赖于MTBF从小到大,并使用二进制树-SVM的基本结构逐渐生成叶节点,每个叶节点代表故障 模式。 该方法应用于识别飞机动力启动系统的常见九个故障模式。

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