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Centroid fault detection method for three-phase inverter-fed induction motors.

机译：三相逆变器感应电动机的质心故障检测方法。

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摘要

Three phase electrical machines are critical with respect to the power and manufacturing industry. Being able to keep these machines and the systems running at an optimal efficiency with as few of maintenance outages as possible has become one of the highest priority. In this dissertation a new, simpler, and non-invasive fault detection and data reduction method is developed. Using a centroid determination method we are able to show the location and type of the fault in a three-phase system, specifically in the electrical machine and the inverter that feeds it. This research reports the literature on the background needed to develop the new fault detection method. The computer simulations and the experiments to prove the effectiveness of the fault detection method is discussed in detail. The detection method makes use of the Concordia Transform to be able to view the AC quantities (currents and/or voltages) of the system in a two-dimensional frame. The proposed research efforts are focused on the fault monitoring methods rather than system control and its monitoring. The central aspect to the development of the fault monitoring is the use of pattern symmetry across the positive and negative Beta axis after the three-phase quantities (currents) are transformed to the two-dimensional AC quantities (currents). The currents are sensed using Hall Effect sensors, which are well known for accuracy and fast response time. The detection system looks at the system on a cycle-by-cycle single point summary of the current spectrum. The ability to simplify the computational methods for fault detection leads to development of a real-time condition monitoring techniques which is low cost, simpler, and free from excessive hardware needed in traditional diagnosis methods. This dissertation reports experimental verification of simulated results covering samples of the results on an inverter-fed induction motor. The laboratory prototype of test system employs DSpace DSP system to implement various MATLAB based real-time condition monitoring and fault detection algorithms.
机译：三相电机对于电力和制造业至关重要。能够使这些机器和系统以最佳效率运行，并尽可能减少维护中断已成为当务之急。本文提出了一种新的，更简单的，非侵入性的故障检测和数据减少方法。使用质心确定方法，我们可以显示三相系统中故障的位置和类型，特别是在电机和为其供电的逆变器中。这项研究报告了开发新的故障检测方法所需的背景资料。详细讨论了计算机仿真和实验证明该故障检测方法的有效性。该检测方法利用Concordia变换能够在二维框架中查看系统的AC量（电流和/或电压）。拟议的研究工作集中于故障监视方法，而不是系统控制及其监视。故障监控发展的中心方面是在将三相量（电流）转换为二维交流量（电流）后，使用正负Beta轴上的模式对称性。使用霍尔效应传感器感测电流，该传感器以准确性和快速响应时间而闻名。检测系统以当前频谱的逐周期单点摘要查看系统。简化故障检测计算方法的能力导致了实时状态监视技术的发展，该技术成本低廉，更简单，并且没有传统诊断方法所需的过多硬件。本文报告了对仿真结果的实验​​验证，该仿真结果涵盖了逆变器供电的感应电动机上的结果样本。测试系统的实验室原型采用DSpace DSP系统来实现各种基于MATLAB的实时状态监视和故障检测算法。

著录项

  • 作者

    Gilreath, Philip Ramon.;

  • 作者单位

    Tulane University.;

  • 授予单位 Tulane University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2004
  • 页码 107 p.
  • 总页数 107
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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