基于Wigner-Ville分布的单相异步电动机转子断条检测

Sara Hafeez, S. S. H. Zaidi, Ayesha Siddiqui
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引用次数: 5

摘要

故障诊断对于工业中使用的任何类型的机器都是至关重要的,因为它具有优越的运行性能。为此,对机械设备进行状态监测是必要的,它能及时诊断出各种故障,保证机械设备的正常运行。在本研究工作中,我们考虑了转子断条损耗,并通过在线过程对各种信号处理技术进行了分析,并利用这些信号处理技术的细节分析了各种故障的诊断和严重程度。我们正在使用WVD (Wigner-Ville分布)的变体,然后与STFT进行比较,以证明这些变体在分析转子棒故障时如何更准确。
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 of single phase induction motor using Wigner-Ville Distributions
Fault diagnosis is vital for any type of machine employed in the industry for its superior operation. For this purpose condition monitoring of machinery is necessary to diagnose the different kind of faults in the machines for the smooth operation. In this research work, we have brought into consideration broken rotor bar losses and have analyzed them with various signal processing techniques through an online process and we analyze the diagnosis and severity of various faults using the details of these signal processing techniques. We are using the variants of WVD (Wigner-Ville Distribution) and then doing a comparison with STFT to demonstrate how these variants are more accurate in analyzing the rotor bar faults.
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