为提高逆变器故障诊断准确率,提出一种基于偏二叉树双子支持向量机(partial binary tree algorithm and twin support vector machines,TWSVM)故障诊断模型.将双子支持向量机引入诊断模型,利用偏二叉树多分类方法构造多个2分类器,实现逆变器诊断的多类分类.通过实例验证,提出的故障诊断模型提高了故障诊断精度和泛化能力,时间消耗短,对于逆变器的故障预测和实时诊断具有实际参考意义
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