Skip to main content
SpringerLink
Log in

Research on vibration of rotor by application of the improved harmonic wavelet

  • Published:
Analog Integrated Circuits and Signal Processing Aims and scope Submit manuscript

Abstract

Because of low attenuation speed of harmonic wavelet in time domain, we carry on the smooth processing in the frequency domain to get better quality of harmonic wavelet. With improved transaction of harmonic wavelet, this paper analyzes in subdivided frequency domain the vibration signal, which is distilled by the track of axes, eliminates most useless signals by calculating time domain and gets high definition graph of vibration signal in time domain at last. The fine track of axes, especially this of inferior frequency signal, well serves the analysis of rotor malfunction. The result shows greater value in practice.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Qian, J., & Di, Y. (2001). Dynamic behaviour of a multi-rotor system with pedestal looseness. Journal of Vibration and Shock, 20(4), 89–92, 101.

    Google Scholar 

  2. Wan, F.-Y., Xu, Q.-Y., & Li, S.-T. (2004). Application of harmonic wavelet transform to detecting multifaults of rotor bearing systems. Engineering Mechanics, 21(1), 102–106.

    Google Scholar 

  3. Li, S. M. (2004). Harmonic wavelet packets method and used on accurate obtaining the orbit of rotor sub-frequency signal. Chinese Journal of Mechanical Engineering, 40(9), 133–137.

    Article  Google Scholar 

  4. Li, S. M., & Gao, D.-P. (2004). Identification of nonlinear vibration characteristics of cracked rotor using harmonic wavelet analysis and fractal theory. Journal of Aerospace Power, 19(5), 581–586.

    Google Scholar 

  5. Li, S. M., Lu, G. Z., & Xu, Q. Y. (2001). On obtaining accurate rotor sub-frequency signal with harmonic wavelet. Journal of Northwestern Polytechnical University, 19(2), 220–224.

    Google Scholar 

  6. Wan, F., Xu, Q., & Li, S. (2004). Vibration analysis of cracked rotor sliding bearing system with rotor-stator rubbing by harmonic wavelet transform. Journal of Sound and Vibration, 271(3–4), 507–518.

    Article  Google Scholar 

  7. Chancey, V. C., Flowers, G. T., & Howard, C. L. (2003). A harmonic wavelets approach for extracting transient patterns from measured rotor vibration data. Journal of Engineering for Gas Turbines and Power, 125(1), 81–89.

    Article  Google Scholar 

  8. Adewusi, S. A., & Al-Bedoor, B. O. (2001). Wavelet analysis of vibration signals of an overhang rotor with a propagating transverse crack. Journal of Sound and Vibration, 246(5), 777–793.

    Article  Google Scholar 

  9. Zhao, Y., Zhang, Y., Xiao, Z., & Xu, Q. (2002). Identification of high-order critical speed of rotor bearing system. Chinese Journal of Mechanical Engineering, 38(7), 107–110.

    Article  Google Scholar 

  10. Ye, Z., Wu, B., & Sadeghian, A. (2003). Current signature analysis of induction motor mechanical faults by wavelet packet decomposition. IEEE Transactions on Industrial Electronics, 50(6), 1217–1228.

    Article  Google Scholar 

  11. Ren, Z., Huang, Q.-G., & Huang, W.-Y. (2000). Two wavelet transform methods and application of fault signal analysis on generator. Proceedings of the Chinese Society of Electrical Engineering, 20(10), 59–63.

    Google Scholar 

  12. Peng, Z. K., Chu, F. L., & Tse, P. W. (2005). Detection of the rubbing-caused impacts for rotor-stator fault diagnosis using reassigned scalogram. Mechanical Systems and Signal Processing, 19(2), 391–409.

    Article  Google Scholar 

  13. Sekhar, A. S. (2004). Detection and monitoring of crack in a coast-down rotor supported on fluid film bearings. Tribology International, 37(3), 279–287.

    Article  Google Scholar 

  14. Samuel, P. D., Pines, D. J., & Lewicki, D. G. (2000). Comparison of stationary and non-stationary metrics for detecting faults in helicopter gearboxes. Journal of the American Helicopter Society, 45(2), 125–136.

    Article  Google Scholar 

  15. Zhang, Q., & Xu, D. (2004). Comparison among some digital signal processing methods for no-coupling series-excited motor testing. Conference Proceedings—IPEMC 2004: 4th International Power Electronics and Motion Control Conference (vol. 3, pp. 1436–1441).

  16. Newland, D. E. (1993). Random vibrations, spectral and wavelet analysis (3rd ed.). New York: Longman.

    Google Scholar 

  17. Newland, D. E. (1994). Wavelet analysis of vibration. Part 1: Thoery. Transactions on ASME Journal of Vibration and Acustics, 116, 409–416.

    Article  Google Scholar 

  18. Newland, D. E. (1994). Wavelet analysis of vibration. Part 2: Wavelet maps. Transactions on ASME Journal of Vibration and Acustics, 116, 417–425.

    Article  Google Scholar 

  19. Newland, D. E. (1993). Harmonic wavelet analysis. Proceedings of the Royal Society of London. Series A, 443, 203–225.

    MATH  Google Scholar 

  20. Newland, D. E. (1999). Ridge and phase identification in the frequency analysis of transient signals by harmonic wavelets. ASME Journal of Vibration and Acoustics, 121(1), 149–155.

    Article  Google Scholar 

  21. Newland, D. E. (1994). Harmonic and musical wavelet. Proceedings of the Royal Society of London. Series A, 444, 605–620.

    MATH  MathSciNet  Google Scholar 

  22. Yucheng, Z., et al. (2000). Application of harmonic wavelet to numerical filter and its efficiency analysis. Chinese Journal of Mechanical Engineering, 10, 9–12.

    Google Scholar 

  23. Xiao, Z. (2001). The application of harmonic wavelet in extracting dynamic parameter of rotor system. Chinese Journal of Applied Mechanics, 18(4), 60–64.

    Google Scholar 

  24. Li, G. (2001). Application of improved harmonic wavelets on time-frequency analysis of vibration signal. Journal of Vibration Engineering, 14(4), 388–391.

    Google Scholar 

Download references

Acknowledgments

This work was partly supported by the National Natural Science Foundation of China under Grant No. 50675206 and was supported by Zhejiang Province Natural Sciences Fund Project under Grant No. Y106847.

Author information

Authors and Affiliations

  1. Shaoxing College of Arts and Sciences, Shaoxing, China

    Xiaojin Fu

Authors
  1. Xiaojin Fu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xiaojin Fu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Fu, X. Research on vibration of rotor by application of the improved harmonic wavelet. Analog Integr Circ Sig Process 59, 201–205 (2009). https://doi.org/10.1007/s10470-008-9247-9

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10470-008-9247-9

Keywords

Search

Navigation