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首页> 外文期刊>Electric power systems research >Analysis of various inverters feeding induction motors with incipient rotor fault using high-resolution spectral analysis
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Analysis of various inverters feeding induction motors with incipient rotor fault using high-resolution spectral analysis

机译：使用高分辨率光谱分析法分析给逆变器提供异步转子故障的各种逆变器

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摘要

Recently, there has been an increased interest in fault detection on electrical machines in steady-state regimes. Several frequency estimation techniques have been developed to assist the early detection of faults in induction motors, especially in line-fed motors. However, in modern industry, the use of inverters is increasingly present. This paper presents an analysis for comprehending the challenge in detecting incipient rotor faults using the stator current signal under different inverter supplies. The approach is based on the high-resolution technique known as multiple signal classification (MUSIC). In this study, incipient rotor faults in a squirrel-cage rotor, prior to the complete breaking of a rotor bar, are better identified in some inverters than others. The proposed approach finds the adequate MUSIC order that facilitates identification of bar breakage frequencies for early fault detection in each case studied from a wide set of trials. The study has been developed to detect incipient rotor bar breakages in an inverter-fed three-phase induction motor under varying load situations. (C) 2017 Elsevier B.V. All rights reserved.
机译：近来，人们越来越关注稳态状态下的电机故障检测。已经开发了几种频率估计技术来帮助及早检测感应电动机中的故障，特别是在馈线电动机中。但是，在现代工业中，越来越多地使用逆变器。本文提出了一种分析方法，以理解使用不同逆变器电源下的定子电流信号来检测早期转子故障的挑战。该方法基于称为多信号分类（MUSIC）的高分辨率技术。在这项研究中，在笼型转子完全断裂之前，鼠笼型转子中的早期转子故障在某些逆变器中比其他逆变器更好地被识别。所提出的方法找到了适当的MUSIC顺序，可以方便地从各种试验研究的每种情况下，识别出断线的频率，以进行早期故障检测。这项研究已经开发出来，可以在变化的负载情况下检测逆变器馈电的三相感应电动机中转子的早期断裂。 （C）2017 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Electric power systems research》 |2017年第11期|18-26|共9页
  • 作者

    Martin-Diaz I.; Morinigo-Sotelo D.; Duque-Perez O.; Arredondo-Delgado P. A.; Camarena-Martinez D.; Romero-Troncoso R. J.;

  • 作者单位

    Univ Guanajuato, HSPdigital CATelemat, DICIS, Salamanca Valle Km 3-5 1-8, Guanajuato 36885, Mexico|Univ Valladolid, Elect Engn Dept, Escuela Ingn Ind, Sede Paseo Cauce, Paseo Cauce 59, E-47011 Valladolid, Spain;

    Univ Valladolid, Elect Engn Dept, Escuela Ingn Ind, Sede Paseo Cauce, Paseo Cauce 59, E-47011 Valladolid, Spain;

    Univ Valladolid, Elect Engn Dept, Escuela Ingn Ind, Sede Paseo Cauce, Paseo Cauce 59, E-47011 Valladolid, Spain;

    Univ Guanajuato, HSPdigital CATelemat, DICIS, Salamanca Valle Km 3-5 1-8, Guanajuato 36885, Mexico|Univ Valladolid, Elect Engn Dept, Escuela Ingn Ind, Sede Paseo Cauce, Paseo Cauce 59, E-47011 Valladolid, Spain;

    Univ Guanajuato, HSPdigital CATelemat, DICIS, Salamanca Valle Km 3-5 1-8, Guanajuato 36885, Mexico;

    Univ Guanajuato, HSPdigital CATelemat, DICIS, Salamanca Valle Km 3-5 1-8, Guanajuato 36885, Mexico;

  • 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

    Condition monitoring; Fault detection; Induction motor; Inverter; Multiple signal classification; Spectral analysis;

    机译：状态监测;故障检测;感应电动机;变频器;多信号分类;频谱分析;

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