Compound Fault Feature Separation of Rolling Bearing Based on Complex Wavelet and Energy Operator Demodulation

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Compound fault feature separation is a difficult problem in diagnosis field of mechanical system. For the rolling bearing with compound fault on outer and inner race, feature separation technology based on complex wavelet transform and energy operator demodulation is introduced. Through continuous wavelet transform, coefficients of mixed fault signal can be achieved in different wavelet transform domain (i.e. real, imaginary, modulus and phase domain). Furthermore, wavelet power spectrum contours and time average wavelet energy spectrum are applied to extract the scales which hold rich fault information, and the wavelet coefficient slice of specific scale is also drawn. For wavelet coefficients in different domain, spectrum analysis and energy operator demodulation can be used successfully to separate mixed fault. The comparison of feature extraction effect between complex wavelet and real wavelet transform shows that complex wavelet transform is obviously better than the latter.

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Periodical:

Edited by:

Chunliang Zhang and Paul P. Lin

Pages:

765-771

Citation:

Y. Yang et al., "Compound Fault Feature Separation of Rolling Bearing Based on Complex Wavelet and Energy Operator Demodulation", Applied Mechanics and Materials, Vols. 226-228, pp. 765-771, 2012

Online since:

November 2012

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$38.00

[1] Z.G. Luo, B.L. Chen and C.L. PANG: Journal of Vibration and Shock, Vol. 29 (2010) No. 6, p.174. (In Chinese).

[2] X.M. Cui, C.X. Sun and X. Li: Transactions of China Electrotechnical Society, Vol. 19 (2004) No. 7, p.90. (In Chinese).

[3] Q. Cheng: Machine Tool &Hydraulics, Vol. 36 (2008) No. 11, p.197. (In Chinese).

[4] X.Y. Wang, Viliam Makis and M. Yang: Journal of Sound and Vibration, Vol. 329 (2010), p.1570.

[5] Q.B. He, S. Su, R.X. Du: Digital Signal Processing, Vol. 18 (2008), p.1013.

[6] J.G. Yang: Wavelet Analysis and Its Engineering Application (China Machine Press, China 2005). (In Chinese).

[7] H.B. Zheng, Z.Y. Li and X.Z. Chen: Chinese Journal of Mechanical Engineering, Vol. 38 (2002) No. 3, p.69. (In Chinese).

[8] Teager H. M. Some Observations on Oral Air Flow During Phonation. IEEE Trans on ASSP, Vol. 28 (1980) No. 5, p.599.

[9] Petros Maragos, Thomas Quatieri and James F. Kaiser. Speech Nonlinearities. Modulations and Energy Operators. ICASSP, Vol. 91 (1991), p.421.

DOI: https://doi.org/10.1109/icassp.1991.150366

[10] H.L. Wu, S.A. Zhu: Journal of Agricultural Machinery, (2003) No. 1, p.118. (In Chinese).

[11] Petros Maragos, James F. Kaiser and Thomas Quatieri. Energy Separation in Signal Modulations with Application to Speech Analysis. IEEE Transactions on Signal Processing. 1993(10), p.3024.

DOI: https://doi.org/10.1109/78.277799

[12] Balasubramaniam Santhanam and Petros Maragos. Harmonic Analysis and Restoration of Separation Methods for Periodic Signal Mixtures. Santhanam&Maragos: Submitted to Signal Processing October 27, (1997).

DOI: https://doi.org/10.1016/s0165-1684(98)00088-7