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首页> 外文会议>8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics Drives >Application of the fourier and the wavelet transform for the fault detection in induction motors at the startup electromagnetic torque
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Application of the fourier and the wavelet transform for the fault detection in induction motors at the startup electromagnetic torque

机译：傅里叶和小波变换在起动电磁转矩感应电动机故障检测中的应用。

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In this paper, a method for the diagnosis of rotor bar failures for the induction machines has been presented. It based on the analysis of the stator current, using the Fourier transform and discrete wavelet transform (DWT) at the start-up electromagnetic torque. Using the simplified dynamic model of the squirrel cage induction motor taking account the broken rotor bars and the discrete wavelet transform (DWT) in order to extract the different harmonic components of the stator currents. The performance presented by using of the DWT: its ability to provide a local representation of the non stationary current signals for the healthy machine and with fault (two adjacent broken bars). The results are compared with those obtained using the Fourier transform.
机译：在本文中，提出了一种用于感应电机的转子条故障的诊断方法。它基于定子电流的分析，在启动电磁转矩时使用傅里叶变换和离散小波变换（DWT）。使用鼠笼型感应电动机的简化动力学模型，考虑到转子断条和离散小波变换（DWT），以便提取定子电流的不同谐波分量。通过使用DWT来表现的性能：DWT能够为运行状况良好的机器并带有故障（两个相邻的断开的条）提供非平稳电流信号的本地表示。将结果与使用傅立叶变换获得的结果进行比较。

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