首页> 外文会议>IAS Annual Meeting >Diagnosis of Broken Bar Fault in Induction Machines Using Discrete Wavelet Transform without Slip Estimation
【24h】

Diagnosis of Broken Bar Fault in Induction Machines Using Discrete Wavelet Transform without Slip Estimation

机译:使用离散小波变换的诱导机床断裂杆断层的诊断

获取原文

摘要

The aim of this paper is to present a wavelet-based method for broken bar fault detection in induction machines. The frequency-domain methods which are commonly used need speed information or accurate slip estimation for frequency components localization in any spectrum. Nevertheless, the fault frequency bandwidth can be well defined for any induction machine due to numerous previous investigations. The proposed approach consists in the energy evaluation of this known bandwidth with time-domain analysis using the discrete wavelet transform (DWT). Then, it has been applied to the stator current space vector magnitude and the instantaneous magnitude of the stator current signal for different broken bar fault severities and load levels.
机译:本文的目的是介绍一种基于小波的断开机器故障检测方法的方法。通常使用的频域方法需要速度信息或准确滑动估计在任何频谱中的频率分量定位。然而,由于众多先前的调查,任何感应机都可以很好地定义故障频率带宽。所提出的方法在于使用离散小波变换(DWT)的时域分析,在该已知带宽的能量评估中组成。然后,已经应用于定子电流空间矢量幅度和定子电流信号的瞬时幅度,用于不同的断开的条形故障严重程度和负载水平。

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