RESEARCH ARTICLE

HHT-based crack identification method for start-up rotor

  • Bing LI ,
  • Chunlin ZHANG ,
  • Zhengjia HE
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  • State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, China

Received date: 16 Feb 2012

Accepted date: 04 Apr 2012

Published date: 05 Sep 2012

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg

Abstract

This paper presents a crack identification method for start-up rotor based on the Hilbert-Huang transform (HHT). With this method, the instantaneous frequency (IF) of each intrinsic mode function is obtained through the Hilbert transform, and the spectrum of IF is calculated accordingly. The influence of acceleration and crack depth on the rotor is analyzed through experiments. HHT is employed to detect the shallower crack, and is then tested during the start-up process of the rotor. The results of the experiment show that HHT is a better tool for crack detection than fast Fourier transform.

Cite this article

Bing LI , Chunlin ZHANG , Zhengjia HE . HHT-based crack identification method for start-up rotor[J]. Frontiers of Mechanical Engineering, 2012 , 7(3) : 300 -304 . DOI: 10.1007/s11465-012-0328-1

Acknowledgements

This work was supported by the project of the National Natural Science Foundation of China (Grant No. 11176024).
1
Lin Y L, Si X H, Chu F L. Stability and dynamics of rotor system with 45 slant crack on shaft. Frontiers of Mechanical Engineering, 2011, 6(2): 203–213

2
Sekhar A S. Multiple cracks effects and identification. Mechanical Systems and Signal Processing, 2008, 22(4): 845–878

DOI

3
Li B, Chen X F, Ma J X, He Z J. Detection of crack location and size in structures using wavelet finite element methods. Journal of Sound and Vibration, 2005, 285(4-5): 767–782

DOI

4
Pennacchi P, Bachschmid N, Vania A. A model-based identification method of transverse cracks in rotating shafts suitable for industrial machines. Mechanical Systems and Signal Processing, 2006, 20(8): 2112–2147

DOI

5
Li L, Chu F L. HHT-based AE characteristics of natural fatigue cracks in rotating shafts. Mechanical Systems and Signal Processing, 2012, 26: 181–189

DOI

6
Huang N E, Shen Z, Long S R, Wu M C, Shih H H, Zheng Q, Yen N C, Tung C C, Liu H H. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proceedings of the Royal Society of London, 1998, 454(1971): 903–995

DOI

7
Huang N E. A new view of earthquake ground motion data: The Hilbert spectrum analysis. In: Proceedings of International Workshop on Annual Commemoration of Chi-Chi Earthquake, 2000, 2: 64–75

8
Yue H Y, Guo H D, Han C M. A SAR interferogram filter based on the empirical mode decomposition method. Geoscience and Remote Sensing Symposium, 2001, 5: 2061–2063

9
Ramesh B T, Srikanth S, Sekhar A S. Hilbert–Huang transform for detection and monitoring of crack in a transient rotor. Mechanical Systems and Signal Processing, 2008, 22(4): 905–914

DOI

10
Qi K Y, He Z J. Hilbert-Huang Transform and its application to fault diagnosis for gas expander. In: Proceedings of the 9th World Multi-Conference on Systemic, Cybernetics and Informatics, 2005, 7(6): 91–96

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