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首页> 外文期刊>IEEE Transactions on Energy Conversion >The Harmonic Order Tracking Analysis Method for the Fault Diagnosis in Induction Motors Under Time-Varying Conditions
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The Harmonic Order Tracking Analysis Method for the Fault Diagnosis in Induction Motors Under Time-Varying Conditions

机译：时变条件下感应电动机故障诊断的谐波阶次跟踪分析方法

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摘要

This paper introduces a new approach for improving the fault diagnosis in induction motors under time-varying conditions. A significant amount of published approaches in this field rely on representing the stator current in the time-frequency domain, and identifying the characteristic signatures that each type of fault generates in this domain. However, time-frequency transforms produce three-dimensional (3-D) representations, very costly in terms of storage and processing resources. Moreover, the identification and evaluation of the fault components in the time-frequency plane requires a skilled staff or advanced pattern detection algorithms. The proposed methodology solves these problem by transforming the complex 3-D spectrograms supplied by time-frequency tools into simple x−y graphs, similar to conventional Fourier spectra. These graphs display a unique pattern for each type of fault, even under supply or load time-varying conditions, making easy and reliable the diagnostic decision even for nonskilled staff. Moreover, the resulting patterns can be condensed in a very small dataset, reducing greatly the storage or transmission requirements regarding to conventional spectrograms. The proposed method is an extension to nonstationary conditions of the harmonic order tracking approach. It is introduced theoretically and validated experimentally by using the commercial induction motors feed through electronic converters.
机译：本文介绍了一种改善时变条件下感应电动机故障诊断的新方法。在该领域中，大量已发表的方法依赖于在时频域中表示定子电流，并识别每种类型的故障在该域中生成的特征信号。但是，时频变换会产生三维（3-D）表示形式，这在存储和处理资源方面非常昂贵。此外，在时频平面中对故障分量的识别和评估需要熟练的人员或先进的模式检测算法。所提出的方法通过将时频工具提供的复杂的3D频谱图转换为简单的XY图来解决这些问题，类似于传统的傅立叶频谱。这些图显示每种故障的独特模式，甚至在供电或负载随时间变化的情况下，即使对于非熟练人员也可以轻松，可靠地做出诊断决策。此外，可以将生成的模式压缩到一个非常小的数据集中，从而大大减少了有关常规频谱图的存储或传输要求。所提出的方法是谐波阶次跟踪方法的非平稳条件的扩展。通过使用通过电子转换器馈电的商用感应电动机，从理论上对其进行了介绍并进行了实验验证。

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