基于高分辨率光谱分析的vsd异步电动机启动时转子断条检测

R. Romero-Troncoso, D. Morinigo-Sotelo, Ó. Duque-Pérez, R. Osornio-Rios, M. Ibarra-Manzano, A. García-Perez
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引用次数: 18

摘要

变速驱动(VSD)驱动的感应电机(IM)故障检测是一种实际的工业需求,因为大多数直线进给机器都被VSD取代,因为它们具有改进的调速和快速的动态响应。然而,当通过VSD馈送IM时,总是存在不希望的谐波。在这种工作条件下,大多数现有的技术都无法检测到IM中的故障。本文提出了一种基于多信号分类(MUSIC)方法的技术,并将其应用于vsd馈电IM的启动瞬态;为了验证该方法对转子断条的识别能力。实验结果表明,该方法具有足够的灵敏度,可以检测到转子断条,在不同的基频供电频率和负载条件下都能进行可靠的诊断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Broken rotor bar detection in VSD-fed induction motors at startup by high-resolution spectral analysis
The fault detection in an induction motor (IM) operated by a variable speed drive (VSD) is an actual industrial need as most of the line-fed machines are replaced by a VSD, due to their improved speed regulation and fast dynamic response. However, undesired harmonics are always present when the IM is fed through a VSD. Under this operating condition, most developed techniques are unable to detect faults in the IM. This paper presents a technique based on the multiple signal classification (MUSIC) method, and it is applied to a VSD-fed IM during the startup transient; in order to verify the capability of the method to identify one broken rotor bar. From the experimental results, the proposed method is proven to be sensitive enough to detect one broken rotor bar, enabling a reliable diagnosis under different fundamental supply frequencies and load conditions.
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