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Improvement of monitoring and diagnosis of broken bars/end-ring connectors and airgap eccentricities of squirrel-cage induction motors in ASDs using a time-stepping coupled finite element-state space technique

机译:使用时间步长耦合有限元状态空间技术改进对ASD鼠笼式感应电动机的断条/端环连接器和气隙偏心率的监测和诊断

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This paper discusses how a time-stepping coupled finite element-state space (TSCFE-SS) modeling technique can be utilized in diagnostic techniques to improve condition monitoring and diagnosis of induction motor rotor abnormalities of broken bars, broken connectors and airgap eccentricities. This investigation shows that application of the TSCFE-SS modeling technique can facilitate monitoring the characteristics of several frequency components as opposed to merely previous monitoring of sideband frequency components associated with the fundamental in motor phase current waveforms. The results presented in this paper clearly illustrate the possible potential use of the modeling technique for improvement of present diagnostic techniques in which diagnosis of broken bars, broken connectors and airgap eccentricities is restricted to identification of the sidebands associated with the first-order (fundamental) component in phase current waveforms. In addition, the results further demonstrate that database generation for various possible faults prior to their occurrences can be readily achieved using this modeling technique.
机译:本文讨论了如何将时步耦合有限元状态空间(TSCFE-SS)建模技术用于诊断技术,以改进状态监测和诊断感应电动机转子的断条,断开的连接器和气隙偏心率异常的能力。这项研究表明,TSCFE-SS建模技术的应用可以促进监视几个频率分量的特性,而与以前仅监视与电动机相电流波形中的基波相关的边带频率分量相反。本文中提出的结果清楚地说明了建模技术在改进现有诊断技术中的潜在用途,在这种诊断技术中,断条,断开的连接器和气隙偏心的诊断仅限于识别与一阶(基本)相关的边带。相电流波形中的分量。此外,结果还表明,使用此建模技术可以轻松实现在各种可能的故障发生之前生成数据库。

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