Journal of Mechanical Science and Technology

The Korean Society of Mechanical Engineers (대한기계학회)
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Wear Detection in Gear System Using Hilbert-Huang Transform

  • Li, Hui (Department of Electromechanical Engineering, Shijiazhuang Institute of Railway Technology) ;
  • Zhang, Yuping (Department of Electromechanical Engineering, Shijiazhuang Institute of Railway Technology) ;
  • Zheng, Haiqi (First Department, Shijiazhuang Mechanical Engineering College)
  • Published : 2006.11.01
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Abstract

Fourier methods are not generally an appropriate approach in the investigation of faults signals with transient components. This work presents the application of a new signal processing technique, the Hilbert-Huang transform and its marginal spectrum, in analysis of vibration signals and faults diagnosis of gear. The Empirical mode decomposition (EMD), Hilbert-Huang transform (HHT) and marginal spectrum are introduced. Firstly, the vibration signals are separated into several intrinsic mode functions (IMFs) using EMD. Then the marginal spectrum of each IMF can be obtained. According to the marginal spectrum, the wear fault of the gear can be detected and faults patterns can be identified. The results show that the proposed method may provide not only an increase in the spectral resolution but also reliability for the faults diagnosis of the gear.

Keywords

References

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