基于瞬时相角特征分析的三相异步电动机转子保持架故障诊断

M. Drif, A. Cardoso
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引用次数: 10

摘要

转子断条检测一直是电机故障检测领域的一项重要而又困难的工作。故障转子在定子电流谱中的特征频率分量与工频分量非常接近,但幅值相差甚远,这给准确检测带来了很大的困难。本文提出了一种基于瞬时相角特征分析的三相异步电动机转子保持架故障诊断方法。为此,采用基于绕组函数方法的数学模型来模拟这种类型的故障,并在具有多个故障转子的感应电动机上进行了实验测试。仿真和实验结果表明了该方法在笼型异步电动机断条检测中的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rotor Cage Fault Diagnostics in Three-Phase Induction Motors, by the Instantaneous Phase-Angle Signature Analysis
Detection of broken rotor bars has long been an important but difficult job in the detection area of motor faults. The characteristic frequency components of a faulted rotor in the stator current spectrum are very close to the power frequency component but by far less in amplitude, which brings about great difficulty for accurate detection. In this paper a new detection method based on the instantaneous phase-angle signature analysis is proposed for the diagnosis of rotor cage faults in operating three-phase induction motors. For that purpose, a mathematical model based on the winding function approach is used in order to simulate this type of fault and experimental tests are carried out on an induction motor with several faulty rotors. Simulation and experimental results are presented to show the merits of this novel approach for the detection of cage induction motor broken rotor bars.
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