• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Chinese Control Conference >Using CEEMDAN algorithm and SVM Fault Diagnosis Methodology in Three-Phase Inverters of PMSM Drive Systems
【24h】

Using CEEMDAN algorithm and SVM Fault Diagnosis Methodology in Three-Phase Inverters of PMSM Drive Systems

机译：PMSM驱动系统三相逆变器中的CeeMDAN算法和SVM故障诊断方法

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper, a fault diagnosis method of three-phase inverters of permanent magnet synchronous motor (PMSM) is proposed, which is based on the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and support vector machine (SVM) according to the measured α-β phase currents. This method can get higher diagnostic accuracy and have preferable against disturbances compared with other methods. Previously, wavelet denoising is introduced to three-phase currents for denoising and preprocessing before Concordia transform. Then the feature of these proposed phase currents are extracted by CEEMDAN algorithm and Hilbert transform, and the faults are detected and diagnosed using SVM approach. Simulated data are used to train the fault diagnosis model, as well as validate the proposed fault diagnosis methodology. The simulation results are presented to validate the effectiveness of the method.
机译：本文提出了一种永磁同步电动机（PMSM）三相逆变器的故障诊断方法，基于具有自适应噪声（CeeMDAN）的完整集合经验模式分解，并根据支持向量机（SVM）测量α-β相电流。这种方法可以获得更高的诊断精度，并且与其他方法相比，抗干扰优选。以前，在Concordia转化之前引入了小波去噪到三相电流，用于去噪和预处理。然后通过CeeMDAN算法和HILBERT变换提取这些提出的相电流的特征，并使用SVM方法检测和诊断故障。模拟数据用于培训故障诊断模型，以及验证所提出的故障诊断方法。提出了仿真结果以验证方法的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号