Induction machine fault diagnostic analysis with wavelet technique
Induction machine fault diagnostic analysis with wavelet technique
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DOI：
10.1109/tie.2004.825325
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发表时间：
2004-06
影响因子：
7.7
通讯作者：
T. Chow;Shi Hai
中科院分区：
文献类型：
--
作者：
T. Chow;Shi Hai
提出了一种基于小波变换的不同转速机械故障诊断方法。本文表明，利用适当的窄带滤波器提取所需的频谱分量，可以有效地进行机器故障诊断。采用基于小波变换的技术设计特定的窄滤波器组。这使得有效的机器故障诊断分析可以在频域进行。采用高斯包络振荡型小波。通过将小波基函数与相应的故障信号进行匹配，得到所需的窄滤波器组。从而使得在不同转速下运行的机器故障的检测和诊断成为可能。在不同转速下对所提出的技术进行了全面的测试。
A wavelet transform based method was developed for diagnosing machine faults operating at different rotating speeds. This paper shows that machine fault diagnosis can be effectively performed when an appropriate narrow-band filter is used to extract the required spectra components. A wavelets-transform-based technique is used to design specified narrow filter banks. This enables effective machine fault diagnostic analysis to be performed in the frequency domain. Gaussian-enveloped oscillation-type wavelet is employed. By matching the wavelet basis functions with the associated faulty signals, the required narrow filter banks are obtained. As a result, the detection and diagnosis of machine faults operating at different rotating speeds are made possible. The proposed technique was thoroughly tested at different rotating speeds.