[关键词]
[摘要]
结合支持向量机(SVM)和DS证据理论,搭建了扩展Park变换模型以及失电残压模型,从多元信息融合的角度进行定子匝间短路故障诊断。仿真证明,该方法可以有效提高故障诊断的精确度,从而减少误诊。
[Key word]
[Abstract]
Based on support vector machine and DS evidence theory the multiinformation fault diagnosis with the extended Park’s vector model and the residual voltage afler switchoff model were made. The simulation experimental results showed that the proposed method could effectively improve the accuracy of fault diagnosis in doublefed induction generator.
[中图分类号]
TM 307
[基金项目]
河北省自然科学基金项目(E2014502015)