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Eigenvector/eigenvalue analysis of a 3D current referential fault detection and diagnosis of an induction motor

机译:3D电流参考故障检测与诊断的特征向量/特征值分析

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摘要

In this paper an integrated approach for on-line induction motor fault detection and diagnosis is presented. The need to insure a continuous and safety operation for induction motors involves preventive maintenance procedures combined with fault diagnosis techniques. The proposed approach uses an automatic three step algorithm. Firstly, the induction motor stator currents are measured which will give typical patterns that can be used to identify the fault. Secondly, the eigenvectors/eigenvalues of the 3D current referential are computed. Finally the proposed algorithm will discern if the motor is healthy or not and report the extent of the fault. Furthermore this algorithm is able to identify distinct faults (stator winding faults or broken bars). The proposed approach was experimentally implemented and its performance verified on various types of working conditions.
机译:本文提出了一种在线感应电动机故障检测和诊断的综合方法。确保感应电动机连续且安全运行的需求涉及预防性维护程序以及故障诊断技术。所提出的方法使用自动三步算法。首先,测量感应电动机的定子电流,这将给出可用于识别故障的典型模式。其次,计算3D当前参考的特征向量/特征值。最后,所提出的算法将辨别电动机是否健康,并报告故障程度。此外,该算法能够识别不同的故障(定子绕组故障或断条)。该提议的方法已通过实验实施,并且在各种类型的工作条件下均已验证其性能。

著录项

  • 来源
    《Energy Conversion & Management》 |2010年第5期|p.901-907|共7页
  • 作者单位

    Escola Sup. Tecnologia Setubal/Inst. Politicnico Setubal, Setubal, Portugal Center for Innovation In Electrical and Energy Engineering (CIEEE)/IST, Lisbon, Portugal;

    CTS, Faculdade de Ciencias e Tecnologia/UNL, Lisboa, Portugal;

    Escola Sup. Tecnologia Setubal/Inst. Politicnico Setubal, Setubal, Portugal CTS, Faculdade de Ciencias e Tecnologia/UNL, Lisboa, Portugal;

  • 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

    induction motor; diagnosis; fault detection; stator currents; eigenvector; eigenvalue;

    机译:感应电动机诊断;故障检测;定子电流;特征向量特征值;

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