Methodology for fault detection in induction motors via sound and vibration signals
Methodology for fault detection in induction motors via sound and vibration signals
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DOI：
10.1016/j.ymssp.2016.06.032
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发表时间：
2017-01-15
影响因子：
8.4
通讯作者：
de Jesus Romero-Troncoso, Rene
中科院分区：
文献类型：
--
作者：
Antonio Delgado-Arredondo, Paulo;Morinigo-Sotelo, Daniel;de Jesus Romero-Troncoso, Rene
如今，及时维护电动机对于维持复杂的工业生产过程至关重要。目前有多种故障诊断方法。通常，通过分析电机稳态运行或启动瞬态期间的电流信号来执行诊断。这种方法称为电机电流特征分析，它可以在频域中或通过电流信号的时频分解来识别与故障相关的频率。还可以通过分析声学声音和振动信号来识别故障，这很有用，因为有时此信息是唯一可用的。这项工作的贡献是一种基于声学声音和振动信号分析的稳态运行中感应电机故障检测方法。该方法使用完整系综经验模式分解将信号分解为多个本征模式函数。随后，计算Gabor表示的频率边际以获得频域中IMF的频谱内容。除了识别更多与故障相关的频率之外，与其他已发表的作品相比，该提案还提供了良好的故障可检测性结果。这项工作中诊断的故障是两个转子条断裂、机械不平衡和轴承缺陷。 (C) 2016 Elsevier Ltd. 保留所有权利。
Nowadays, timely maintenance of electric motors is vital to keep up the complex processes of industrial production. There are currently a variety of methodologies for fault diagnosis. Usually, the diagnosis is performed by analyzing current signals at a steady-state motor operation or during a start-up transient. This method is known as motor current signature analysis, which identifies frequencies associated with faults in the frequency domain or by the time-frequency decomposition of the current signals. Fault identification may also be possible by analyzing acoustic sound and vibration signals, which is useful because sometimes this information is the only available. The contribution of this work is a methodology for detecting faults in induction motors in steady-state operation based on the analysis of acoustic sound and vibration signals. This proposed approach uses the Complete Ensemble Empirical Mode Decomposition for decomposing the signal into several intrinsic mode functions. Subsequently, the frequency marginal of the Gabor representation is calculated to obtain the spectral content of the IMF in the frequency domain. This proposal provides good fault detectability results compared to other published works in addition to the identification of more frequencies associated with the faults. The faults diagnosed in this work are two broken rotor bars, mechanical unbalance and bearing defects. (C) 2016 Elsevier Ltd. All rights reserved.