机译:使用基于模型的支持向量分类器检测感应电动机中的断条
Department of Electrical Engineering, Collage of Engineering, University of Mosul, Mosul, Iraq;
Department of Computer Science, Electrical and Space Engineering, Division of Signals and Systems, Lulea University of Technology, Sweden;
Department of Computer Science, Electrical and Space Engineering, Division of Signals and Systems, Lulea University of Technology, Sweden;
Department of Computer Science, Electrical and Space Engineering, Division of Signals and Systems, Lulea University of Technology, Sweden;
Fault detection; Model based methods; Broken rotor bar; Three phase asynchronous motors; Statistical characterization; Support vector classification; Motor current signature analysis;
机译:引入滤波公园和滤波扩展公园的矢量方法来独立于转子槽数来检测感应电动机中损坏的转子条
机译:智能工具在逆变器馈电的三相感应电动机中检测转子棒破损和分类的应用
机译:支持向量机在鼠笼式感应电动机转子断条故障诊断中的应用
机译:基于支持向量机-SVM的感应电动机转子断条故障分类
机译:离线检测交流感应电动机中的转子条损坏。
机译:瞬态状态下的卷积神经网络和电动机电流签名分析用于检测感应电动机断裂杆
机译:基于模糊的统计特征提取,用于检测线送和逆变器馈电电动机中破损的转子杆