变频异步电动机非线性起动中转子断条的检测

V. Fernandez-Cavero, J. Pons-Llinares, Ó. Duque-Pérez, D. Morinigo-Sotelo
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引用次数: 10

摘要

在非平稳状态下,变频异步电动机的故障检测仍然是一个挑战。在转子棒断的情况下,故障相关谐波在非常接近基波分量的时频平面上演化,且振幅远低于基波分量。这两个事实使他们的观察变得困难。这里介绍的龙变换就是为了解决这个问题而开发的。在本文中,该变换用非线性标准逆变器馈入启动器进行了测试,其中,由于其高时频分辨率,即使演化非常接近主分量,也能够检测故障谐波。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of broken rotor bars in non-linear startups of inverter-fed induction motors
Fault detection in inverter-fed induction motors operating in non-stationary regimes it is still a challenge. In the case of rotor bar breakages, the fault-related harmonics evolve in the time-frequency plane very close to the fundamental component, and with much lower amplitudes than the fundamental. These two facts make their observation difficult. The Dragon Transform here presented is developed to solve this problem. In this paper, this transform is tested with non-linear standard inverter-fed startups, where, thanks to its high time-frequency resolution, is capable of detecting fault harmonics even with evolutions extremely close to the main component.
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