Applied Mathematics and Mechanics (English Edition) ›› 1991, Vol. 12 ›› Issue (1): 61-66.

• 论文 • 上一篇    下一篇

RESEARCH ON HAAR SPECTRUM IN FAULT DIAGNOSIS OF ROTATING MACHINERY

徐尹格1, 颜玉玲2   

  1. 1. Beijing Jiaotong Manager College, Beijing;
    2. Nanjing Aeronautical Institute, Nanjing
  • 收稿日期:1990-01-29 出版日期:1991-01-18 发布日期:1991-01-18

RESEARCH ON HAAR SPECTRUM IN FAULT DIAGNOSIS OF ROTATING MACHINERY

Xu Yin-ge1, Yan Yu-ling2   

  1. 1. Beijing Jiaotong Manager College, Beijing;
    2. Nanjing Aeronautical Institute, Nanjing
  • Received:1990-01-29 Online:1991-01-18 Published:1991-01-18

摘要: 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.

关键词: Haar transform, rotating mechinery, real-time diagnosis, fault diagnosis, On-line monitoring

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.

Key words: Haar transform, rotating mechinery, real-time diagnosis, fault diagnosis, On-line monitoring

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