带整流器的三相同步发电机电气故障检测与定位

Russell Sabir, D. Rosato, S. Hartmann, C. Gühmann
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引用次数: 5

摘要

带整流器的三相同步发电机在运行过程中可能会发生各种电气故障。故障主要包括定子匝间短路、整流器开路短路和定子导线开路短路。迄今为止,对定子匝间故障(所有电气故障中最关键的一种)的检测和定位工作已经做了大量的工作,而对其他四种电气故障的检测和定位工作还不多。因此,本文主要针对另外四种故障的检测与定位进行研究。本文试图通过使用来自发电机输出的整流输出电压(实验测量)来识别与这些故障对应的频谱中的故障特征。在对这些故障特征进行识别之后,开发了检测故障及其严重程度和定位的方法。提出了两种方法:带通滤波法和用Goertzel算法计算谐波幅度。这两种方法都能检测出四种电气故障。采用带通滤波方法可以确定故障的严重程度,但无法对故障进行局部化,而采用Goertzel算法计算谐波幅值的第二种方法可以对故障进行局部化。这两种方法都适用于较宽的速度范围,并证明了它们在电气故障检测中的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection and Localization of Electrical Faults in a Three Phase Synchronous Generator with Rectifier
A three phase synchronous generator with rectifier may be subjected to various electrical faults during its operation. The faults mainly include stator inter-turn short circuit, open and short circuit in the rectifier and open and short circuit in the stator wires. Until present, a lot work has been done to detect and localize stator inter-turn faults (which is the most critical of all the electrical faults), but not much work has been done for the detection and localization of other four electrical faults. Therefore, this paper mainly focuses on the detection and localization of the other four faults. The paper attempts to identify fault signatures in the frequency spectrum that correspond to each of these faults by using the rectified output voltage (measured experimentally) from the generator output. After the identification of these fault signatures, approaches are developed for the detection of faults along with their severity and localization. Two approaches, bandpass filter approach and harmonic magnitude computation using Goertzel algorithm are presented. Both these approaches are able to detect the four electrical faults. With the band-pass filter approach, fault severity can be determined but fault cannot be localized, but with the second approach of harmonic magnitude computation using Goertzel algorithm the fault can be localized. Both of these approaches are applicable over a wide speed range and their effectiveness of electrical fault detection is shown in this paper.
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