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New Spectral Markers for Broken Bars Diagnostics in Induction Motors

机译:用于感应电动机中的残破条诊断的新谱标记

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The paper discusses the spectral markers of fault rotor bars in induction motor current signature analysis (MCSA). The results of the simulation of the deterioration process for a single rotor bar, as well as the results of research for various mutual bracing of two broken bars, are reported. We proposed a simple empiric technique allowing one to obtain frequencies for spectrum markers of damaged rotor bars based on simulation analysis. The set of frequencies obtained in the experimental part of the study was compared with simulation results and the results of real-life measurements. The theoretical results were verified through the experiment with the real induction motor under load. Analysis of experimental results proved that the given algorithm for spectrum analysis is suitable for early detection of fault rotor bars in induction motors.
机译:本文讨论了感应电动机电流特征分析中故障转子杆的光谱标记(MCSA)。报道了单个转子杆的劣化过程的模拟结果,以及两种骨折的各种相互支撑的研究结果。我们提出了一种简单的经验技术,允许基于仿真分析获得损坏转子杆的频谱标记的频率。将实验部分在该研究的实验部分获得的一组频率与模拟结果和现实寿命测量结果进行了比较。通过实验通过载荷的实际感应电动机进行理论结果。实验结果的分析证明,给定的频谱分析算法适用于感应电动机中的故障转子杆的早期检测。

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