旋转机械故障诊断中的哈尔谱研究
Research on Haar Spectrum in Fault Diagnosis of Rotating Machinery
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摘要: 本文将哈尔变换应用于旋转机械故障诊断之中,并提出了用于诊断的“脉冲锐度”指标.基于付立叶分析的频谱分析是目前广泛采用的方法,与快速付立叶变换相比,哈尔变换具有实时性,逼近效果好,适用于对脉冲的提取等优点.而不足之处是受样本始点选取及样本长的影响大.对此,本文提出了控制各次样本的等效性的方法,改善了哈尔谱的稳定性与比较性.最后,通过对滚珠轴承故障模拟试验台进行试验得到的结果证实了哈尔谱及脉冲锐度指标对故障的敏感性.Abstract: In this paper, Haar Transform (HT) is used in the fault diagnosis of rotating machinery, and the "Impulse Sharpness" is presented as a diagnostic index. At present, Fourier Spectrumanalysis is most widely used. Compared with FFT, HT is more rapid in computation and more effective in discrete approximation. It's very suitable for the extraction of pulses in the signal. However, HT has some shortcomings. It's greatly affected by the starting point and length of the sample. Here, the authors present a method to improve the stability and comparability of Haar Spectrum. The fault imitating test of rolling bearing is carried out, and the results obtained have verified the sensitivity of Haar Spectrum and Impulse Index to the fault.
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Key words:
- Haar transform /
- real-time diagnosis /
- fault diagnosis
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[1] Ahmed, N, and K. R. Rao, Orthogonal Transforms for Digital Signal Processing, Berlin, Heidelberg, New York(1975). [2] 柳重堪,《正交函数及其应用》,国防工业出版社(1982).
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