Paper Titles
Crack Detection Using Acoustic Emission Methods – Fundamentals and Applications
p.33
Ultrasonic/Guided Waves for Structural Health Monitoring
p.49
Identification of Crack Damage with Wavelet Finite Element
p.63
A Biological Immunity-Inspired Novelty Detection Algorithm for Rotor System Monitoring
p.71
Gearbox Fault Detection Using Hilbert and TT-Transform
p.79
Frequency-Demodulated Analysis Based on Cyclostationarity for Local Fault Detection in Gears
p.87
Gearbox Fault Diagnosis Using Adaptive Redundant Second Generation Wavelet
p.95
Comparison of Two Software Tools for Damage Identification: Gradient-Based vs. Case-Based Approach
p.103
Identification of Impact Force for Base on Higher Order Wigner Distribution
p.111

Gearbox Fault Detection Using Hilbert and TT-Transform

Article Preview

Abstract:

Machine vibration signal has been used in fault detection and diagnosis. Modulation and non-stationarity existing in the signal generated by a faulty gearbox present challenges to effective fault detection. Hilbert transform has the ability to address the modulation issue. This paper outlines a novel fault detection method called Hilbert & TT-transform (HTT-transform) which combines Hilbert transform and TT-transform obtained from the inverse Fourier transform of the S-transform. The principle of the proposed method is to analyze the modulating signal created by a faulty gear using a time-time representation. The method has the advantage of providing a new way of localizing the time features of the modulating signal around a particular point on the time axis through scaled windows. It is verified with simulated signals and real gearbox vibration signals. The results obtained by CWT, S-transform, TT- transform, and HTT-transform are compared. They show that utilizing the proposed method can improve the effectiveness of gearbox fault detection.

You might also be interested in these eBooks
Damage Assessment of Structures VI View Preview

Info:

Periodical:

Key Engineering Materials (Volumes 293-294)

Pages:

79-86

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.293-294.79

Citation:

Cite this paper

Online since:

September 2005

Authors:

Xianfeng Fan, Ming J. Zuo

Keywords:

Fault Detection, Gear Box, Hilbert Transform, TT-Transform

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2005 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

References

[1] P.D. McFadden: ASME Trans. J. of Vib. Acoust. Stress, & Reliab in Design Vol. 108 (1986), p.165.

Google Scholar

[2] M.J. Brennan, M.H. Chen and A.G. Reynolds: Sound and Vibration Vol. 31 (1997), p.12.

Google Scholar

[3] W.Q. Wang, F. Ismail and M.F. Golnaraghi: Mech. Syst. and Sign. Proc. Vol. 15 (2001), p.905.

Google Scholar

[4] M.C. Pan, P. Sas and H. Van Brussel: Proc. of 3rd IEEE Sign. Proc. Soc. Intel. Symposium on Time-Frequency and Time-Scale Analysis (1996), p.477.

Google Scholar

[5] A. Hambaba, E. Huff and U. Kaul: IEEE Aerospace Conference Proc. Vol. 7 (2001), p.7.

Google Scholar

[6] S.K. Lee: Key Engineering Materials. Vol. 245 (2003), p.175.

Google Scholar

[7] Z.K. Peng and F.L. Chu: Mech. Syst. and Sign. Proc. Vol. 18 (2004), p.199.

Google Scholar

[8] C.N. Tan and J. Mathew: Australian Vib. and Noise Conf., (1990), p.161, Melbourne.

Google Scholar

[9] P.D. McFadden and W.J. Wang: Vib. in Rotating Mach., Proc. of the Inst. of Mech. Eng., Bath, Vol. C432/134 (1992), p.387.

Google Scholar

[10] H. Choi and W. Williams: IEEE Trans. Acoust. Speech & Sign. Proc. Vol. 37 (1989), p.862.

Google Scholar

[11] W.J. Staszewski and G.R. Tomlinson: Mech. Syst. and Sign. Proc. Vol. 8 (1994), p.289.

Google Scholar

[12] J. Lin and M.J. Zuo: Mech. Syst. and Sign. Proc. Vol. 17 (2003), p.1259.

Google Scholar

[13] X.F. Fan and M.J. Zuo: ASME Proc. of IMECE Vol. 3/59349 (2004), Anaheim USA.

Google Scholar

[14] R.G. Stockwell, L. Mansinha and R.P. Lowe: IEEE Trans. on Sign. Proc. Vol. 44 (1996), p.998.

Google Scholar

[15] P.D. McFadden, J.G. Cook and L.M. Forster: Mech. Syst. and Sign. Proc. Vol. 13 (1999), p.691.

Google Scholar

[16] C.R. Pinnegar and L. Mansinha: Digital Sign. Proc. Vol. 13 (2003), p.588.

Google Scholar

[17] S.L. Hahn. Hilbert Transform in Signal Processing (London: Artech House 1996).

Google Scholar

[18] H. Zheng, Z. Li and X. Chen: Mech. Syst. and Sign. Proc. Vol. 16 (2002), p.447.

Google Scholar

[19] M. Misiti, Y. Misiti and et al: Wavelet Toolbox User's Guide (MathWorks, Inc. 2004).

Google Scholar

[20] L. Qu and Z. He: Mechanical Diagnostics (Shanghai Science and Technology Press, P. R. China 1986).

Google Scholar