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Transient detection of eccentricity-related components in induction motors through the Hilbert-Huang Transform

机译：通过Hilbert-Huang变换瞬态检测感应电动机中的偏心相关组件

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摘要

The identification and extraction of characteristic patterns are proposed in this work for the diagnosis and evaluation of mixed eccentricities in induction electrical machines with parallel stator branches. Whereas the classical diagnosis approaches, deeply spread in the industrial environment, are based on the Fourier analysis of the steady-state current, the basis of the proposed methodology consist of analysing the current demanded by the machine during the connection process (startup transient); the objective is to extract the characteristic evolution during the transient of some harmonic components created by the fau this evolution is caused by the dependence of these components on the slip (s), a quantity varying during the startup transient from 1 to almost 0. For this feature extraction, the Hilbert-Huang Transform (HHT) is proposed. An analysis of the behaviour of this transform in comparison with another time-frequency approach used in other works, the Discrete Wavelet Transform (DWT), is also presented in the paper. The results show the usefulness of the methodology for the reliable diagnosis of the mixed eccentricity fault and for the correct discrimination against other types of failures.
机译：在这项工作中提出了特征模式的识别和提取，用于诊断和评估具有平行定子分支的感应电机中的混合偏心率。虽然经典的诊断方法是在工业环境中广泛传播的，但它基于稳态电流的傅立叶分析，而所提出方法的基础是分析连接过程中（启动瞬态）机器所需的电流；目的是提取由故障产生的某些谐波分量在瞬态过程中的特征演化。这种演变是由这些分量对滑移的依赖性引起的，滑移的数量在启动瞬态过程中从1变为几乎为0。对于此特征提取，提出了希尔伯特-黄变换（HHT）。与其他工作中使用的另一种时频方法，即离散小波变换（DWT）相比，该变换的行为也得到了分析。结果表明，该方法对于混合偏心故障的可靠诊断以及对其他类型故障的正确判别是有用的。

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  • 来源
    《Energy Conversion & Management》 |2009年第7期|1810-1820|共11页
  • 作者

    J. Antonino-Daviu; P. Jover Rodriguez; M. Riera-Guasp; A. Arkkio; J. Roger-Folch; R.B. Perez;

  • 作者单位

    Universidad Politecnica de Valencia, Departamento de Ingenieria Electrica, P.O. Box 22012, 46071 Valencia, Spain;

    ABB AB, Corporate Research, Forskargraend 8, 72222 Vasteras, Sweden;

    Universidad Politecnica de Valencia, Departamento de Ingenieria Electrica, P.O. Box 22012, 46071 Valencia, Spain;

    Laboratory of Electromechanics, Helsinki University of Technology, P.O. Box 3000, 02015 HUT, Finland;

    Universidad Politecnica de Valencia, Departamento de Ingenieria Electrica, P.O. Box 22012, 46071 Valencia, Spain;

    Nuclear Engineering Department, University of Tennessee, Knoxville, TN, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    fault diagnosis; induction machines; hilbert-huang transform; mixed eccentricity; wavelet transform;

    机译：故障诊断;感应机;希尔伯特·黄变换混合偏心小波变换;

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