...
首页> 外文期刊>IEEE Transactions on Industry Applications >Mechanical Load Fault Detection in Induction Motors by Stator Current Time-Frequency Analysis
【24h】

Mechanical Load Fault Detection in Induction Motors by Stator Current Time-Frequency Analysis

机译:基于定子电流时频分析的异步电动机机械负载故障检测

获取原文
获取原文并翻译 | 示例
           

摘要

This paper examines the detection of mechanical faults in induction motors by an original use of stator current time-frequency analysis. Mechanical faults lead generally to periodic load torque oscillations. The influence of the torque oscillations on the induction motor stator current is studied using an analytical approach. The mechanical fault results in a sinusoidal phase modulation of the stator current, which is equivalent to a time-varying frequency. Based on these assumptions, several signal processing methods suitable for stator current signature analysis are discussed: classical spectral analysis, instantaneous frequency estimation, and the Wigner distribution. Experimental and simulation results validate the theoretical approach in steady-state operating conditions
机译:本文研究了通过最初使用定子电流时频分析来检测感应电动机中的机械故障。机械故障通常会导致周期性的负载扭矩振荡。使用分析方法研究了转矩振荡对感应电动机定子电流的影响。机械故障会导致定子电流的正弦相位调制,这等效于时变频率。基于这些假设,讨论了几种适用于定子电流签名分析的信号处理方法:经典频谱分析,瞬时频率估计和维格纳分布。实验和仿真结果验证了稳态工作条件下的理论方法

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