Xu Yin-ge, Yan Yu-ling. Research on Haar Spectrum in Fault Diagnosis of Rotating Machinery[J]. Applied Mathematics and Mechanics, 1991, 12(1): 55-60.
Citation: Xu Yin-ge, Yan Yu-ling. Research on Haar Spectrum in Fault Diagnosis of Rotating Machinery[J]. Applied Mathematics and Mechanics, 1991, 12(1): 55-60.

Research on Haar Spectrum in Fault Diagnosis of Rotating Machinery

  • Received Date: 1990-01-29
  • Publish Date: 1991-01-15
  • 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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  • [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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