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Teager energy operator and its application in the study of induction motor rotor broken bars fault

机译:Teager能量操作员及其在感应电动机转子的研究中的应用

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Broken rotor bar is one of the main causes of induction motor fault. The method for detecting the existence of sideband frequency component in stator phase current when the rotor bars broken by motor current signature analysis (MCSA) technology has been widely used. However, there are obvious limitations with the incipient fault, the amplitude of fault signature frequency is much smaller than the amplitude of the fundamental, and there is no significant difference of frequency between them, so that it is hard to extract the fault signature frequency. Consequently, this paper utilizes Teager energy operator to process one phase current signal and acquires the fault feature component by removing the DC component, so that determines whether the rotor bars is broken or not, and this processing is based on a modulation signal of stator current with broken rotor bars. In addition, the validated results origin from sufficient simulations and experiments analysis indicate that this process has distinct superiorities on detecting broken rotor bars and lower the spending in hardware and software substantially, compared with other methods which need sampling various signals.
机译:破碎的转子杆是感应电机故障的主要原因之一。通过电动机电流特征分析(MCSA)技术破坏转子杆(MCSA)技术时,用于检测定子相电流中边带频分量的存在的方法。但是,初始故障存在明显的限制,故障签名频率的幅度远小于基本的幅度,并且它们之间没有显着差异,因此很难提取故障签名频率。因此,本文利用Teager能量操作员处理一个相电流信号并通过移除DC分量来获取故障特征分量,从而确定转子杆是否被破坏,并且该处理基于定子电流的调制信号。破碎的转子杆。此外,与足够的模拟和实验分析的验证结果原点表明,与需要采样各种信号的其他方法相比,该过程在检测破损的转子杆上并降低硬件和软件的支出,该过程具有明显的优势。

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